Logical computation using algorithmic self-assembly of dna triple-crossover molecules

合集下载

Evolutionary Computing Algorithms

Evolutionary Computing Algorithms

Evolutionary Computing AlgorithmsEvolutionary computing algorithms, also known as evolutionary algorithms, are computational techniques inspired by biological evolution. These algorithms are used to solve optimization problems by mimicking the process of natural selection and genetic variation. Evolutionary computing algorithms have gained popularity in various fields such as engineering, finance, and computer science due to their ability to find high-quality solutions to complex problems.One of the key features of evolutionary computing algorithms is their ability to handle optimization problems with high-dimensional search spaces. Traditional optimization techniques may struggle in these situations due to the large number of variables involved. Evolutionary algorithms, on the other hand, are well-suited for tackling such problems as they can explore a large search space efficiently and converge to optimal solutions.There are several types of evolutionary computing algorithms, with genetic algorithms being the most well-known. Genetic algorithms work by maintaining a population of candidate solutions and applying genetic operators such as mutation, crossover, and selection to evolve better solutions over generations. These algorithms are particularly effective for problems with non-linear constraints and discontinuous objective functions.Another popular variant of evolutionary computing algorithms is evolutionary strategies, which are based on self-adaptation and evolution of strategy parameters. These algorithms have been successfully applied to optimization problems in the fields of robotics, engineering design, and game playing. Evolutionary strategies are known for their ability to handle noisy and dynamic optimization problems, where traditional optimization methods may struggle to find optimal solutions.Particle swarm optimization (PSO) is another type of evolutionary computing algorithm that is inspired by the social behavior of birds flocking and fish schooling. In PSO, a population of particles moves around a search space to find optimal solutionsthrough interaction and communication with other particles. PSO has been widely used in function optimization, image processing, and data clustering due to its simplicity and effectiveness.Evolutionary computing algorithms have been applied to a wide range of real-world problems, including design optimization, machine learning, and data mining. These algorithms have been successfully used to solve problems such as vehicle routing, job scheduling, and neural network training. Their ability to adapt and evolve in complex environments makes them a powerful tool for solving challenging optimization problems.In conclusion, evolutionary computing algorithms are versatile optimization techniques that have proven to be effective in solving complex problems across various domains. With their ability to explore large search spaces, handle high-dimensional problems, and adapt to changing environments, evolutionary algorithms have become an indispensable tool for researchers and practitioners seeking optimal solutions to challenging optimization problems.。

所有课程英文名

所有课程英文名

所有课程英文名(一).毕业实习Graduation Practice激光器件原理与设计Principles of Laser Devices & Design光电课程设计Photoelectric Course Exercise激光生物医学Laser Biomedicine激光与材料相互作用Reciprocity of Laser & Materials生物医学光子学Biomedical Photonics光纤原理与技术Fiber Optical Operation & Technology光纤通信技术Fiber Optical Communication Technology通信原理与技术Principle of Communication & Technology光纤实验Experiments in Fiber Optical外设与接口Peripheral Equipment & InterfacePASCAL语言Programming in PASCAL算法设计与分析Algorithmic Design & Analysis音乐基础理论Basis Theory of Music精读Perusal口语训练Oral Training英语听说训练English Practice on Listening & Speaking口语Oral Training语法Syntax文体学Style Science高级视听Advanced Videos英语学习技巧English Studying Skills报刊选读Selected Readings of Newspaper & Magazine模拟集成电路及应用Analog Integrated Circuit & Application传感器及应用Sensors & Application微机技术实验Microcomputer Technology Experiment数字语音处理Digital V oice Processing微机接口技术Interface Technique of Microcomputer电力拖动Electric Traction程序设计及算法语言Program Designing & Algorithmic Language应用写作Applied Composition文字处理系统Word Processing System经济基础Basis of Economy汉字信息处理系统设计Design of Chinese Character Information Processing 办公自动化Office Automatization办公自动化系统设计Office Automatization DesignWindows系统Windows Operation System多媒体计算机技术Multimedia Computer Technology办公自动化系统毕业设计Office Automatization Thesis制冷课程设计Refrigeration Course Design制冷装置及自动化Refrigeration Equipment & Automatization电视传感器图象显示Television Sensor Graphic Display电子线路的计算机辅助分析Computer Associate Analysis of Electronic Circuit自动检测技术与仪表Automatic Measurement Technique & Meter图形显示Graphic Demonstration外存储原理与技术External Memory Principle & Technique计算机原理及应用Principle & Applications of Computer机械制图Mechanical Graphing外贸会计会话Foreign Business Accountancy Conversation外贸函电Foreign Business Correspondence外贸英语会话Foreign Business English Conversation西方经济学Western Economics统计学原理与外贸统计Principle of Statistics & Business Statistics国际商法International Commercial Law国际技术贸易International Technical Trade工业产品学Industrial Products外贸应用文写作Foreign Business Practical Writing国际经济合作International Economics Cooperation对外贸易运输International Trade Transportation跨国公司International Firm国际信贷International Credits世界市场行情International Market Analysis建筑结构试验Architectural Structure Experimentation建筑工程概预算Construction Project Budget单片机与接口技术Mono-Chip Computers & Interface Technique控制系统数字仿真与CAD Control System Digital Imitation & CAD建筑识图Architectural Recognition Graph直流调速系统Direct Current Governor System计算机软件基础Basis of Software of Computer国际贸易运输International Trade Transportation英美文化背景Cultural Background of Britain & America对外贸易保险International Trade Insurance国际理财International Financing现代行情学Modern Market塑性成型原理Principle of Plastic Molding词汇学Lexicology英语专题研究English Special Research发展经济学Evaluative Economics电力系统课程设计Course Design of Power Systems电子学课程设计Course Design of ElectronicsPC机原理Principle of PC双闭环设计与实验Design & Experiment of Two Closed Loop计算机组成原理课程设计Principles of Computer Composition Course Design 大学物理College Physics大学物理实验Experiment of College Physics数字技术Digital Technique自动控制系统设计 Design of Automatic Control System电力系统(I) Power Systems I电力系统(II) Power Systems II继电保护 Relay Protection发电厂电气部分与热力设备 Electric Elements & Thermodynamics Equipment of Power Plants数据结构课程设计 Course Design of Data Structure接口与通讯课程设计 Course Design of Interface and Communication编译原理课程设计 Course Design of Compiling计算机维修技术 Computer Repair Technique计算机数据安全 Computer Data SecurityVLSI设计基础 Basis of VLSI DesignOS/2操作系统 OS/2 Operation System光电系统课程设计 Photoelectric System Course Design制冷及低温测试 Refrigeration & Cryogenic Testing光电摄像技术 Photoelectric Photographing Technique光电信息计算机处理 Computer Processing in Photoelectric Information钢砼课程设计 Reinforced Concrete Course Design机械零件课程设计 Course Design of Machinery Elements投资经济学 Investment Economics现代企业管理 Modern Enterprise Administration市场营销学 Market Selling国际投资学 International Investment工程项目概预算 Engineering Project Estimate & Budget证券与期货投资 Securities & Futures Investment管理会计 Management Accountancy(真空)冷冻干燥技术 (Vacuum) Freezing & Drying TechnologyFORTRAN 77 语言 FORTRAN 77 Language地基基础课程设计 Course Design of Groundsill Basis房屋建筑学课程设计 Course Design of House Architecture钢砼设计 Experiment of Reinforced Concrete Structure工程测量实习 Engineering Measuring Practice工程地质 Engineering Geology机床 Machine Tool机床电气 Machine Tools Electric机械工程计算机控制 Mechanic Engineering Computer Control口语系列 Oral Catena砌体课程设计 Course Design of Foundations切削原理及刀具 Metal Cutting Principle & Tools新型建筑材料 New Building Materials专业设计 Specialty Design综合听说 Comprehensive Listening & Speaking综合英语 Comprehensive English过程控制调节装置 Process Control & Regulation Equipment数据库课程设计 Course Design of Database非线性控制理论 Non-Linear Control Theory大学生心理学 Psychology Introduction电气测量技术 Electrical Measurement Technology水轮机及计算机辅助设计 Water-Turbine Engine CAD热加工与误差测量 Thermal Machining and Error Measurement结构与强度 Structure & Intensity船舶结构 Ship Structure蒸汽动力装置 Steam Power Equipment辅助机械 Aided Machine叶轮机原理 Principle of Gas Turbine推进装置控制 Propeling Equipment Control精密机械学课程设计 Course Design of Precision Machinery船体制图 Ship Graphing船舶振动 Ship Vibration中国税制 Taxation System of China基础会计 Basic Accountancy国际税收 International Revenue财务会计 Financial Accountancy商务英语 Business Affairs English风险投资分析 Analysis of Risk Investment税务管理 Taxation Management预算会计 Budget Accountancy成本会计 Cost Accounting金融市场概论 Introduction to Money Market管理学 Management Theory法理学 Nomology民法学 Civil Law国际私法 International Private Law公司法 Corporation Law合同法 Contracts Law税法 Taxation Law诉讼法学 Litigation Law知识产权学 Theory of Knowledge Property Right环保法 Environment Protection Law刑法学 Penal Law律师实务 Lawyer Affairs仲裁法 Arbitration Law金融法 Financial Law金属工艺及设计 Metal Technics & Design机械工业企业管理 Mechanic Industrial Enterprise Management故障诊断与容错技术 Malfunction Diagnoses & Tolerance Technology 计算流体力学 Fluid Mechanics Computation通用结构分析 Analysis of Currency Structure中级无机化学及实验Medium Inorganic Chemistry & Experiment应用电化学Applied Electrochemistry应用表面化学Applied Surface Chemistry相对论Principle of Relativity工程数学Engineering MathematicsBASIC & FORTRAN 语言BASIC Language & FORTRAN Language信号传输原理Principle of Signal Transmission电子线路的计算机辅助设计Computer Associate Design of Electronic Circuit 财务管理Financial Cost Management工业电子学Industry Electronics高压电工程High-V oltage Engineering专业实习Specialty Practice电机电磁场理论Theory of Electrical Moto & Electromagnetic Fields电机矩阵分析法Analysis of Electrical Motor Matrix英国文学作品选读Selected Readings of British Literature微机实验Experiment of Microcomputer移动通信Moving Communication光纤通信系统Fibre Optical Communication System卫星通信Satellite Communications内燃机结构Structure of Internal-Combustion Engine内燃机装修Internal-Combustion Engine Maintenance内燃机强度Strength of Internal-Combustion Engine内燃机检测技术Measuring Technology for Internal-Combustion Engine舰船辅助机械Marine Auxiliary Equipment船用电器设备Marine Electrical Equipment电子学Electronics工艺设计Technics Design自动控制与调节原理Principle of Automatic Control & Regulation计算机实践基础Basis of Computer Practice中国革命与建设史History of Chinese Revolution & Construction中文信息处理Chinese Information Processing电工测量技术基础Measurement Technology of Electrical Engineering听力训练Listening Training行情学概论Introduction to Market国际市场分析与预测International Trade Analysis & Predicting反不正当经济法Anti-malfeasance Economic Law技术贸易Technology Trade专利文献检索The Searches of Patent Literature计算机应用技术Computer Applications Technology精密电磁测量Precise Electromagnetic Measurement精密电磁测量Precise Electromagnetic Measurement钢砼结构与砌体结构Reinforces Structure and Monsary Structure计算机原理与算法语言Principles of Computer & Algorithm疲劳失效分析Fatigue Invalidation Analysis高电压实验High-V oltage Experiment微机原理设计Principle & Designing of Microcomputer汉语语言文学Chinese Linguistics & Literature汉字信息处理系统Chinese Word Processing System外部设备概论Introduction of Peripheral Equipment初等数学Primary Mathematics线性网络Linear Network数模与模数转换A/D and D/A Conversion专利法Patent Law政法经济学Politics & Law Economics计算机逻辑设计Computer Logic Designing微波器件与网络Microwave Device and Network微波测量与实验Microwave Measurement & Experiment微波通信Microwave Communication可靠性与优化设计Reliability & Optimization Designing高电压绝缘High-V oltage Insulation电器设计Electrical Appliances Designing电工材料Electrical Materials高电压技术与设备High-V oltage Technology and Device测量技术基础Foundation of Measurement Technology半导体器件课程设计Course Design of Semiconductor Devices集成电路CAD Integrate Circuit CAD集成电路CAD设计Design of Integrate Circuit CAD机床自动化Machinery Tool Automation电力拖动与电气控制Electrical Towage & Electrical Control过程原理Principle of ProcessX射线金属学X-Ray & Metallography程控数字交换Program Controlling of Digital Exchange计算机仿真Computer Simulation金属腐蚀与应用Metal Erosion & Application船体结构与制图Ship Structure & Graphing潜艇装置Submarine Equipment潜艇结构Submarine Structure潜艇静力学Submarine Statics潜艇强度Submarine Intensity潜艇操纵Submarine Control潜艇武备Submarine Arming潜艇设计Submarine Design化工原理课程设计Course Design of Principles of Chemical Industry 有机合成及实验Organic Synthesize & Experiment应用胶体与表面化学Application Colloid & Superficial Chemistry仿真与辅助设计Simulation & Computer Aided Design实变函数与泛函分析Functions of Real V ariable & Functional Analysis C++程序设计C++ Program Designing操作系统与编译原理Disk Operating System & Fundamentals of Compiling 信号处理中的数学方法Mathematic Method in Signal Processing微型计算机原理Principle of Microcomputer热工仪表Thermal Meter汽轮机课程设计Steam Turbine Course Design锅炉课程设计Boiler Combustion Course Designing工艺实习Technics Practice电子测试实验Electronic Testing Experiment组织社会学Sociology of Organization综合实验Comprehensive Experiment教学实习Teaching Practice计算机系统维修Computer System Maintain会计原理企业会计Principles of Accountancy & Enterprise Accountancy财政与税收Finance & Revenue流通经济学Circulation Economics管理系统FOXBASE Management System of FOXBASE投资与金融Investment & Finance企业理财Enterprise Financing期货市场Futures Market机电产品Mechanical & Electrical Products进出口实务Importation & Exportation Affairs中国古代文学Ancient Chinese Literary中国现代文学Contemporary Literature of China国际贸易法International Trade Laws中国当代文学Chinese Contemporary Literature外国文学Foreign Literature英语应用写作English Application Writing电机电磁场的数值计算Calculation of Electrical Motor & Electromagnetic Fields液压系统课程设计Course Design of Hydraulic System数值电路计算方法Computational Method of Digital Circuit信号的检测与估值Testing & Evaluation of Signal自动装置Automatic Equipment公差测试实验Common Difference Testing Experiment工程测试与信号处理Engineering Testing & Signal Processing机制工艺学Mechanical Technology机器人导论Introduction of Robot系统可靠性与故障诊断System Reliability & Failure Diagnosis机类专业课程设计Course Design of Machinery机械加工自动化系统Automatic System in Mechanical Working项目评估理论与方法Theory & Method of Project Evaluation会计信息系统Information System of Accountancy动力机械CAI Dynmical Mechine CAI基本电路分析Basis Theory of Circuitry Analysis工厂电气设备Electric Equipment of Plants控制系统仿真Control System Imitation物理实验Physical Experiment通讯原理Principle of Communication微电子器件原理与设计Principles & Design of Micro-electronics Apparatus 微电子功能材料Micro-electronics Function & Material微电子器件工艺学Micro-electronics Apparatus Technics集成电路课程设计Course Design of Integrate Circuit集成电路原理与设计Principles & Design of Integrate Circuit微电子技术实验Micro-electronics Technical Experiment敏感器件Sensitive Apparatus微电子器件课程设计Course Design of Micro-electronics Apparatus电力系统最优规划Optimal Planning in Power System低温原理与设备Cryo Fundamentals & Equipment低温测试技术Cryo Testing Technique螺杆制冷压缩机Spiral Lobe Refrigeration Compressor空气调节Air Regulation吸收与蒸喷Absorption & Steam Whiff电路基本理论Basis Theory of Circuitry现代管理概论Introduction to Modern Business Management制冷技术与设备Refrigeration Technique & Equipment低温制冷机Cryo Refrigerator微机在低温中的应用Computer Application in Cryo Processing制冷低温测试技术Refrigeration & Cryogenic Testing Technique回转式制冷压缩机Rotary Refrigerate Compressor发电厂电气部分与动力部分Electric Elements & Dynamics of Power Plants 变电站的微机检测Computer Testing in Transformer SubstationIBM-PC IBM-PC计算机模拟Computer Imitation断裂疲劳力学Fatigue Fracture Mechanics机械式传输信息机构Mechanic Information Transmission Device数理统计及应用Mathematical statistics & Application典型计算机分析Classical Computer Analysis计算机外部设备Computer Peripheral Equipment活塞压机气流脉动Gas Pulsation of Piston Pressor信息系统与设计分析Analysis of Information System & Designing国贸与进出口实务International Trade & Imports and Exports Affairs产品学Production铸铁合金Cast Iron Alloy现代生物概论Introduction of Modern Biology超精密加工和微细加工Super-Precision & Minuteness Processing泛读Extensive Reading时事日语Current Affairs of Japanese近代日本文学史文学作品选读Contemporary Literature History of Japan所有课程英文名(五) 近代日本文学史文学作品选读 Contemporary Literature History of Japan日本概况 Introduction of Japan弹性波 Elastic Waves机械产品及管理 Mechanic Products & Management现代电视技术 Modern Television Technology自控系统 Auto-Control System电机统一理论 Theory of Electrical Motor Integration微型特殊电机 Micro Special Electrical Motor电气传动 Electrified Transmission电子测试与实验技术 Electronic Testing Technology & Experiment软件基础课程设计 Course Design of Software Technique成像原理与技术 Principles & Technique of Imaging价格学 Price Theory工业技术经济 Industrial Technology Economics数据库管理系统 Database Management System企业会计学 Enterprise Accounts机械控制工程 Mechanical Control Engineering可靠性工程 Reliability Engineering机械工程测试技术 Measurement Techniques of Mechanic Engineering计算机控制系统 Computer Control System机器人技术基础 Fundamentals of Robot Techniques最优化技术 Techniques of Optimum微机保护 Microcomputer Protection电力企业管理 Management of Electrical Enterprise发电厂计算机控制 Computer Control in Power Plant工业美术设计 Art Designing in Industry摄影技术 Techniques for Photography物理光子实验 Photo-Physics Experiment动力机械CAD Dynmical Mechine CAD数字电路与微机 Digital Circuit & Computer外国近现代建筑史 History of Western Neoteric & Modern Architecture高压实验设备测量 High-Voltage Experimentation Equipment Measurement过电压及数值计算 Hyper-Voltage & Numeric Calculation脉冲功率技术 Pulse Power Techniques电机 Motor微机控制技术课程设计 Course Design of Control Technique of Microcomputer分布式计算机系统 Distributed Computer System流体力学及液压传动 Fluid Mechanics & Hydraulic Transmission市场经济 Economy of Manufacturing控制系统 Control System生物技术 Biotechnology生物技术专题 Currents Issues in Biotechnology生物技术实验 Biotechnology Experiment遗传工程 Genetics Engineering发酵工程 Zymolysis Engineering分子生物学 Molecule Biology微生物实验 Experiment on Microbiology生物学基础 Basic of Biology生物化学技术 Measurement for Biochemistry机械制造系统 Mechanical Manufacture System调节原理 Principles of Regulation计算机辅助热力学 Computer Aided Thermodynamics热工自动化 Thermal Automation电子线路课程设计 Course Design of Electronic Circuit图像通信 Image Communication高压电技术 High-Voltage Technology科技阅读 Scientific Reading数字电子电路 Fundamental Digital Circuit中英文信息输入技术 Technology of Inputting in English & Chinese中国传统文化与新文学 Chinese Traditional Culture & New Literature算法语言与计算机操作 Algorithmic Language & Computers Practise算法语言与计算机操作 Algorithmic Language & Computers Practise并行处理 Parallel Processing数据库技术与应用 Technique & Application of Database画法几何 Descriptive Geometry阴影透视 Shadow and Perspective新闻英语 News English电子技术综合性设计实验 Experiment in Electronic Technology电力装置与系统 Power Equipment & System电路及电子线路CAD Circuitry CAD电力装置课程设计 Course Design of Power Equipment微机系统及应用 Computer System & Application经济法概论 Introduction of Economy Law动态信号 Dynamic Signal上机操作 Computer Practice水运系统工程 Waterborne System Engineering水运系统工程 Waterborne System Engineering海洋开发技术 Ocean Development Technology船舶摇摆与操纵 Ship Swaying & Manipulating计算机原理与BASIC语言 Principle of Computer Engineering & BASIC Language 建筑工程概论 Introduction to Architecture Engineering企业财务管理 Enterprise Finance Management模拟电子技术实验 Analog Electronics Technique Experiment生物合成实验 Biotechnology Compose Experiment生物化学检测与控制 Biochemical Examining & Controling生物化学课程设计 Biochemistry Course Design生物检测课程设计 Course Design of Measurement for Biotechnique力学 Mechanics光学与原子物理Optics & Atomic Physics声学基础Basic of Acoustics智能化仪器Artificial Intelligence Instrument智能化仪器Artificial Intelligence Instrument传感技术Sensor Technique超声及应用Supersonics Application磁记录Magnetographic电工实验Experiment of Electrical EngineeringFoxBase程序设计FoxBase Programming税收管理Taxation Management关税Tariff消费者行为学Customer Praxiology税收经济活动分析Taxation Economic Activity Analysis税务稽查Tax Check微机大型实验Micro-Computer Large-Scale Experiment传感技术及应用Sensor Technique & Application计算机通讯网Computer Communication Network电子线路设计与测试实验Electronic Circuit Design & Measurement Experiment 电子线路设计与测试实验Electronic Circuit Design & Measurement Experiment 电路测量与实验Circuit Measurement & Experiment中国新闻事业史History of Chinese Journalism普通话训练Mandarin Training政经与国际关系Politics普通逻辑General Logic新闻评论写作News Commentary & Composition电视新闻Television News经济学概论Introduction of Economics节目制作Programming西方新闻写作技巧Technique of Western News Composition广播节目制作Broadcast Programming节目主持人概论Introduction to Compere影视美学Movies & TV Aesthetics认识实习Cognition Practice认识实习Cognition Practice铸造成形理论基础Basic of Casting Figuration Theory铸造工艺课程设计Foundry Technology Course Design合金原理及熔炼Principle & Application of Alloy铸造车间机械化Casting Shop Mechanization中国建筑史Chinese Architecture History制冷技术Refrigeration Technique线性代数微分方程Linear Algebra & Differential Equation计算方法与算法语言Computational Method & Algorithmic LanguageX光分析X-ray Analysis微观结构分析Micro-Structure Analysis工艺原理与研究方法Principles & Research of Technics敏感元件Sensors数据库应用基础Basic of Database Application英语听力与口语English Listening Comprehension & Oral Training英语听力与口语English Listening Comprehension & Oral Training会计学原理Principle of Accountancy中国法学概论Chinese Law Concept银行信贷管理Bank Credit Management银行外汇业务Bank Foreign Exchange Affairs银行经营管理Bank Trade Administrator国际商务谈判International Business Negotiate国际英语阅读International English Reading跨国公司理论与实务International Firm Concept & Affairs英语函电Business English Correspondence微处理机和程序逻辑Micro-Processor & Program Logic微型计算机Microcomputer水机优化设计Hydraulic Optimal Design应用统计学Statistics Application新闻理论Theories of Journalism新闻理论Theories of Journalism锻造加热设备Forging Heat Equipment锻压测试技术Forging Testing Technique塑料模结构设计Plastic Model Structure Design国际经济学进出口业务International Economics Import & Export Business 货物买卖合同Contracts Cargo Deal国际商品行情International Market Quotation国际经济行情International Economics Quotation对外贸易地理International Marketing Geography英文贸易书信English Trading Letters引进利用外资Introduction of Foreign Investment海商法Law of Maritime Commerce高等代数Elementary Algebra数学分析Mathematical Analysis中共党史History of the Chinese Communist Party算法语言Algorithmic Language体育Physical Education英语English Language力学实验Mechanics-Practical德育Moral EducationPASCAL语言PASCAL Language政治经济学Political Economics电学实验Electrical Experiment数字逻辑Mathematical Logic普通物理General Physics计算方法 Computing Method离散数学 Discrete Mathematics汇编原理 Principles of Assembly概率与统计 Probability & Statistics数据结构 Data Structure哲学 Philosophy微机原理 Principles of Microcomputer编译方法 Compilation Method系统结构 System Structure操作系统原理 Principles of Operating System文献检索 Documentation Retrieval数据库概论 Introduction to Database网络原理 Principles of Network人工智能 Artificial Intelligence算法分析 Algorithm Analysis毕业论文 Graduation Thesis自然辩证法 Natural Dialectics英语 English Language数理统计 Numeral Statistic/Numerical Statistic人工智能及其体系结构 Artificial Intelligence & its Architecture高级数理逻辑 Advanced Numerical Logic高级程序设计语言的设计与实现 Advanced Programming Language"s Design & Implementation软件工程基础 Foundation of Software Engineering专业英语 Specialized English计算机网络 Computer Network高级计算机体系结构 Advanced Computer ArchitectureIBM汇编及高级语言的接口 IBM Assembly & its Interfaces with Advanced Programming Languages分布式计算机系统 Distributed Computer System / Distributed System计算机网络实验 Computer Network Experiment。

2000门课程名称翻译大全(十五)

2000门课程名称翻译大全(十五)

2000门课程名称翻译大全(十五)色彩 Color色谱 Color Spectrum摄影技巧 Techniques for Photography涉外企业管理 Enterprise Administration Concerning Foreign Natio社会调查的理论与方法 Theories & Methods for Social Investigation社会调查方法 Methods for Social Investigation社会工作 Social Work社会统计分析与SYSTAT应用 Social Statistics Analysis & SYSTAT Application社会统计学 Social Statistics社会问题研究 Research on Social Problems社会心理学 Social Psychology社会学概论 Introduction to Sociololgy社会学简论 Brief Introduction to Sociology社会学理论专题 Current Issues in Theories of Socilolgy 社会学问题研究 Research on Problems of Sociology社会学研究方法 Research Methods of Sociology社会主义财政学 Finance of Socialism社会主义各国政,经体制讨论 Discussion on Political & Economic Systems in Socialism审计学 Science of Auditing生产管理 Administration of Manufacturing生产过程计算机控制 Computer Control in Manufacturing Process生产过程自动化 Water-Turbine Engine生理学 Physiology生命科学与无机化学 Life Science and Inorganic Chemistry 生物工程产品 Bio-engineering Products生物工程导论 Introduction to Bio-engineering生物化学 Biochemistry生物化学工程 Biochemical Engineering生物化学及实验 Biochemistry Experiment生物检测技术 Measurement for Biotechnique生物控制论 Biocybernetics生物流变学 Biorheology生物物理 Biophysics生物学专题 Currents Issues in Biology生物医学超声学 Biomedical Supersonics失效分析 Invalidation Analysis诗歌美学 Aesthetics of Poetry时间序列 Time Sequence实变函数 Functions of Real Variable实验分析 Experimental Analysis实验力学 Experimental Mechanics实验力学基础 Basis of Experimental Mechanics实验流体 Experimental Flowing Object实验应力分析 Analysis of Experimental Stress世界近现代经济史 Modern History of World Economy世界近现代史 Modern History of the World世界文化史 History of World Culture世界政治经济与国际关系 World Politic Ecomony&International Relationship适应控制系统 Adaption Control System市场学 Science of Market市场研究 Research on Market市场预测 Market Predicting输入输出设计原理 Principle of Input and Output Designing 书法 Handwriting数据结构 Data Structure数据库概论 Introduction to Database数据库基础 Basis of Database数据库技术 Technique of Database数据库设计与分析 Design & Analysis of Database数据库系统原理 Principles of Database System数据库应用 Application of Database数据库原理及应用 Principle & Application of Database数控机床 Digit Control Machine Tool数控技术 Digit Control Technique数理方程 Mathematical Equations数理方程积分变换 Integral Transmission of Mathematical Equation数理方程与特殊函数 Equations of Mathmatical Physics & Special Functions数理逻辑 Mathematical Logic数理统计 Mathematical statistics数量经济 Quantity Economics数学分析 Mathematical Analysis数学规划 Mathematical Planning数学模型 Mathematical Modening数学物理方法 Method of Mathematical Physics数值电路 Digital Circuit数值分析 Numerical Analysis数值计算 Digital Computation数字测量技术 Digital Measuring Technique数字测量实验技术 Experimental Technique of Digital Measuring数字测试实验技术 Experimental Technique of Digital Testing数字电路 Digital Circuit数字电路及微机原理 Digital Circuit & Computer Principles 数字电视 Digital Television数字电子基础 Fundamental Digital Electionics数字电子技术 Digital Electronic Technique数字电子技术基础 Fundamental Digital Electronic Technique数字电子技术设计与实验 Experiment & Design of Digital Electron Technique数字电子线路 Digital Electrical Circuitry数字电子与微机原理 Digital Electronics & Principle of Microcomputer数字仿真 Digital Simulation数字化测量技术 Digital Measuring Technique数字控制及微机控制技术 Digital Control & Microcomputer Control Technique数字逻辑 Digital Logic数字图象处理 Digital Image Processing数字系统逻辑设计 Logical Design of Digital System数字系统设计 Design of Digital System数字信号处理 Digital Signal Processing双曲线方程 Hyperbolic Equation水电能源学 Science of HydrOelectric Enelgy水电站过渡过程的特殊问题 Special Problems in the Transition of a Hydropower Station水电站计算机控制 Computer Control in Hydropower Station 水电站经济运行 Economic Operation in Hydropower Station 水电站控制系统分析 Analysis of Control System in Hydropower Station水电站自动化 Automation of Hydropower Station水动力学 Water Dynamics水机工艺结构分析 Technics Structure Analysis of Hydraulic Machinery水力机械测试技术 Test Technique of Hydraulic Machinery 水力机械的汽蚀 Gas Etching of Hydraulic Machinery水力机械调节 Adjustment of Hydraulic Machinery水力机械强度计算 Intensity Calculation of Hydraulic Machinery水力机械原理 Principles of Hydraulic Machinery水力机械制造工艺及结构分析 Manufacturing Technique &Structure Analysis of Hydraulic Machinery水力机械制造工艺学 Manufacturing Technique for Hydraulic Machinery水力学 Hydraulics水轮机 Water-Turbine Engine水轮机调节 Water-Turbine Engine Adaption水轮机调节系统 Adaptive System of Water-Turbine Engine 水轮机水力设计 Hydraulic Design of Water Engine水轮机原理及水力设计 Principles of Water-Turbine Engine & Design of Water Engine水轮机原理与CAD Principle of Water-Turbine Engine & CAD 水轮水力设计 Hydraulic Design of Water Engine水现代控制理论 Modern Theory of Water Controling水质稳定技术 Stability Technique of Water Quality思想教育 Virtue Education素描 Pencil Sketch速冻技术 Technique of Speed Freezing塑性力学 Plastic Machanics算法语言 Algorithmic Language随机过程 Stochastic Process & Time Series Analysis随机运筹学 Randomized Operational Research锁相技术 Phase Lock Technique---来源网络整理,仅供参考。

algorithmic用法

algorithmic用法

algorithmic用法Algorithmic用法1. 什么是algorithmic?Algorithmic是一个英文词汇,源自algorithm(算法)一词,意为“算法的”。

在编程和计算机科学领域,algorithmic常用来表示与算法相关的事物或概念。

2. Algorithmic作为形容词的用法•Algorithmic approach: 它是指通过算法解决问题的方法或策略,即采用按照特定的步骤和逻辑进行处理的方式。

例如:“我们采用了algorithmic approach来提高代码的效率。

”•Algorithmic complexity: 它是指算法运行时间的增长率,通常用Big O表示法(O(n))来表示。

它可以用来衡量算法的效率和性能。

例如:“使用这种新算法,我们可以显著减少算法的复杂度。

”•Algorithmic trading: 它是指使用计算机算法来进行股票或其他金融产品交易的方式。

这种交易方式通常会利用计算机的高速处理能力和对市场行为的分析能力。

例如:“越来越多的交易公司开始采用algorithmic trading来进行股票交易。

”•Algorithmic problem solving: 它是指使用算法来解决复杂问题的过程。

这包括问题的分析、算法的设计和实现,以及对算法进行优化和测试等环节。

例如:“我们的课程旨在培养学生的algorithmic problem solving能力。

”3. Algorithmic作为名词的用法•The algorithmic process: 它是指使用算法进行问题求解的过程。

这个过程通常包括问题的定义、算法的设计、数据的输入输出和整个过程的迭代等环节。

例如:“学习algorithmic process可以提高我们的问题解决能力。

”•Algorithmic language: 它是指用于描述和实现算法的计算机编程语言。

这种语言通常具有精简的语法和特定的语义,以便于编写和理解算法。

A model of computation for MapReduce

A model of computation for MapReduce

Labs—Research, howard@ Research, suri@ ‡ Yahoo! Research, sergei@
938
Copyright © by SIAM. Unauthorized reproduction of this article is prohibited.
number of new key ; value pairs. It is crucial that the map operation is stateless—that is, it operates on one pair at a time. This allows for easy parallelization as different inputs for the map can be processed by different machines. During the shuffle stage, the underlying system that implements MapReduce sends all of the values that are associated with an individual key to the same machine. This occurs automatically, and is seamless to the programmer. In the reduce stage, the reducer ρ takes all of the values associated with a single key k , and outputs a multiset of key ; value pairs with the same key, k . This highlights one of the sequential aspects of MapReduce computation: all of the maps need to finish before the reduce stage can begin. Sine the reducer has access to all the values with the same key, it can perform sequential computations on these values. In the reduce step, the parallelism is exploited by observing that reducers operating on different keys can be executed simultaneously. Overall, a program in the MapReduce paradigm can consist of many rounds of different map and reduce functions, performed one after another.

计算机算术算法

计算机算术算法

计算机算术算法【中英文版】Title: Computer Arithmetic AlgorithmsTitle: 计算机算术算法In the realm of computer science, arithmetic algorithms play a pivotal role in performing mathematical calculations efficiently.These algorithms are designed to handle a variety of tasks, from simple arithmetic operations to complex mathematical problems.在计算机科学的领域中,算术算法在高效执行数学计算方面发挥着关键作用。

这些算法被设计来处理各种任务,从简单的算术运算到复杂的数学问题。

One of the fundamental arithmetic algorithms is the binary addition algorithm.This algorithm adds two binary numbers and produces a sum.The algorithm operates by adding the least significant bits first and carrying over any overflow to the next significant bits.其中一个基本的算术算法就是二进制加法算法。

这个算法将两个二进制数相加,得到和。

该算法通过首先将最低有效位相加,并将任何进位传递到下一个有效位来进行操作。

Another important algorithm is the multiplication algorithm.This algorithm multiplies two binary numbers and produces a product.The algorithm operates by multiplying the least significant bit of the second number by each bit of the first number, and then shifting the result to the left by the appropriate number of bits.另一个重要的算法就是乘法算法。

张量分析翻译 英文原文

TensorTensors are geometric objects that describe linearrelations between vectors, scalars, and other tensors.Elementary examples of such relations include thedot product, the cross product, and linearmaps.Vectors and scalars themselves are also tensors.A tensor can be represented as a multi-dimensionalarray of numerical values. The order (also degree orrank )of a tensor is the dimensionality of the arrayneeded to represent it, or equivalently, the number ofindices needed to label a component of that array. For example, a linear map can be represented by a matrix, a 2-dimensional array, and therefore is a 2nd-order tensor. A vector can be represented as a 1-dimensional array and is a1st-order tensor. Scalars are single numbers andare thus 0th-order tensors.Tensors are used to represent correspondences between sets of geometric vectors. For example, the Cauchy stress tensor T takes a direction v as input and produces the stress T (v ) on the surfacenormal to this vector for output thus expressinga relationship between these two vectors, shown in the figure (right).Because they express a relationship between vectors, tensors themselves must beindependent of a particular choice of coordinate system. Taking a coordinate basis or frame of reference and applying the tensor to it results in an organized multidimensional array representing the tensor in that basis, or frame of reference. The coordinate independence of a tensor then takes the form of a "covariant" transformation law that relates the array computed in one coordinate system to that computed in another one. This transformation law is considered to be built into the notion of a tensor in a geometric or physical setting, and the precise form of the transformation law determines the type (or valence ) of the tensor.Tensors are important in physics because they provide a concise mathematical framework for formulating and solving physics problems in areas such as elasticity, fluid mechanics, and general relativity. Tensors were first conceived by Tullio Levi-Civita and Gregorio Ricci-Curbastro, who continued the earlier work of Bernhard Riemann and Elwin Bruno Christoffel and others, as part of the absolute differential calculus . The concept enabled an alternative formulation of the intrinsic differential geometry of a manifold in the form of the Riemann curvature tensor.[1] Cauchy stress tenso r , a second-order tensor. The tensor's components, in a three-dimensional Cartesian coordinate system, form the matrix whose columns are the stresses (forces per unit area) acting on the e 1, e 2, and e 3 faces of the cube.HistoryThe concepts of later tensor analysis arose from the work of Carl Friedrich Gauss in differential geometry, and the formulation was much influenced by the theory of algebraic forms and invariants developed during the middle of the nineteenth century.[2]The word "tensor" itself was introduced in 1846 by William Rowan Hamilton[3] to describe something different from what is now meant by a tensor.[Note 1] The contemporary usage was brought in by Woldemar V oigt in 1898.[4]Tensor calculus was developed around 1890 by Gregorio Ricci-Curbastro under the title absolute differential calculus, and originally presented by Ricci in 1892.[5] It was made accessible to many mathematicians by the publication of Ricci and Tullio Levi-Civita's 1900 classic text Méthodes de calcul différentiel absolu et leurs applications (Methods of absolute differential calculus and their applications).[6]In the 20th century, the subject came to be known as tensor analysis, and achieved broader acceptance with the introduction of Einstein's theory of general relativity, around 1915. General relativity is formulated completely in the language of tensors. Einstein had learned about them, with great difficulty, from the geometer Marcel Grossmann.[7]Levi-Civita then initiated a correspondence with Einstein to correct mistakes Einstein had made in his use of tensor analysis. The correspondence lasted 1915–17, and was characterized by mutual respect:I admire the elegance of your method of computation; it must be nice to ride through these fields upon the horse of true mathematics while the like of us have to make our way laboriously on foot.—Albert Einstein, The Italian Mathematicians of Relativity[8]Tensors were also found to be useful in other fields such as continuum mechanics. Some well-known examples of tensors in differential geometry are quadratic forms such as metric tensors, and the Riemann curvature tensor. The exterior algebra of Hermann Grassmann, from the middle of the nineteenth century, is itself a tensor theory, and highly geometric, but it was some time before it was seen, with the theory of differential forms, as naturally unified with tensor calculus. The work of Élie Cartan made differential forms one of the basic kinds of tensors used in mathematics. From about the 1920s onwards, it was realised that tensors play a basic role in algebraic topology (for example in the Künneth theorem).[citation needed] Correspondingly there are types of tensors at work in many branches of abstract algebra, particularly in homological algebra and representation theory. Multilinear algebra can be developed in greater generality than for scalars coming from a field, but the theory is then certainly less geometric, and computations more technical and less algorithmic.[clarification needed]Tensors are generalized within category theory bymeans of the concept of monoidal category, from the 1960s.DefinitionThere are several approaches to defining tensors. Although seemingly different, the approaches just describe the same geometric concept using different languages and at different levels of abstraction.As multidimensional arraysJust as a scalar is described by a single number, and a vector with respect to a given basis is described by an array of one dimension, any tensor with respect to a basis is described by a multidimensional array. The numbers in the array are known as the scalar components of the tensor or simply its components.They are denoted by indices giving their position in the array, in subscript and superscript, after the symbolic name of the tensor. The total number of indices required to uniquely select each component is equal to the dimension of the array, and is called the order or the rank of the tensor.[Note 2]For example, the entries of an order 2 tensor T would be denoted T ij, where i and j are indices running from 1 to the dimension of the related vector space.[Note 3]Just as the components of a vector change when we change the basis of the vector space, the entries of a tensor also change under such a transformation. Each tensor comes equipped with a transformation law that details how the components of the tensor respond to a change of basis. The components of a vector can respond in two distinct ways to a change of basis (see covariance and contravariance of vectors),where the new basis vectors are expressed in terms of the old basis vectors as,where R i j is a matrix and in the second expression the summation sign was suppressed (a notational convenience introduced by Einstein that will be used throughout this article). The components, v i, of a regular (or column) vector, v, transform with the inverse of the matrix R,where the hat denotes the components in the new basis. While the components, w i, of a covector (or row vector), w transform with the matrix R itself,The components of a tensor transform in a similar manner with a transformation matrix for each index. If an index transforms like a vector with the inverse of the basis transformation, it is called contravariant and is traditionally denoted with an upper index, while an index that transforms with the basis transformation itself is called covariant and is denoted with a lower index. The transformation law for an order-m tensor with n contravariant indices and m−n covariant indices is thus given as,Such a tensor is said to be of order or type (n,m−n).[Note 4] This discussion motivates the following formal definition:[9]Definition. A tensor of type (n, m−n) is an assignment of a multidimensional arrayto each basis f = (e1,...,e N) such that, if we apply the change of basisthen the multidimensional array obeys the transformation lawThe definition of a tensor as a multidimensional array satisfying a transformation law traces back to the work of Ricci.[1]Nowadays, this definition is still used in some physics and engineering text books.[10][11]Tensor fieldsMain article: Tensor fieldIn many applications, especially in differential geometry and physics, it is natural to consider a tensor with components which are functions. This was, in fact, the setting of Ricci's original work. In modern mathematical terminology such an object is called a tensor field, but they are often simply referred to as tensors themselves.[1]In this context the defining transformation law takes a different form. The "basis" for the tensor field is determined by the coordinates of the underlying space, and thedefining transformation law is expressed in terms of partial derivatives of thecoordinate functions, , defining a coordinate transformation,[1]As multilinear mapsA downside to the definition of a tensor using the multidimensional array approach is that it is not apparent from the definition that the defined object is indeed basis independent, as is expected from an intrinsically geometric object. Although it is possible to show that transformation laws indeed ensure independence from the basis, sometimes a more intrinsic definition is preferred. One approach is to define a tensor as a multilinear map. In that approach a type (n,m) tensor T is defined as a map,where V is a vector space and V* is the corresponding dual space of covectors, which is linear in each of its arguments.By applying a multilinear map T of type (n,m) to a basis {e j} for V and a canonical cobasis {εi} for V*,an n+m dimensional array of components can be obtained. A different choice of basis will yield different components. But, because T is linear in all of its arguments, the components satisfy the tensor transformation law used in the multilinear array definition. The multidimensional array of components of T thus form a tensor according to that definition. Moreover, such an array can be realised as the components of some multilinear map T. This motivates viewing multilinear maps as the intrinsic objects underlying tensors.Using tensor productsMain article: Tensor (intrinsic definition)For some mathematical applications, a more abstract approach is sometimes useful. This can be achieved by defining tensors in terms of elements of tensor products of vector spaces, which in turn are defined through a universal property. A type (n,m) tensor is defined in this context as an element of the tensor product of vectorspaces,[12]If v i is a basis of V and w j is a basis of W, then the tensor product has anatural basis . The components of a tensor T are the coefficients of the tensor with respect to the basis obtained from a basis {e i} for V and its dual {εj}, i.e.Using the properties of the tensor product, it can be shown that these components satisfy the transformation law for a type (m,n) tensor. Moreover, the universal property of the tensor product gives a 1-to-1 correspondence between tensors defined in this way and tensors defined as multilinear maps.OperationsThere are a number of basic operations that may be conducted on tensors that again produce a tensor. The linear nature of tensor implies that two tensors of the same type may be added together, and that tensors may be multiplied by a scalar with results analogous to the scaling of a vector. On components, these operations are simply performed component for component. These operations do not change the type of the tensor, however there also exist operations that change the type of the tensors.Raising or lowering an indexMain article: Raising and lowering indicesWhen a vector space is equipped with an inner product (or metric as it is often called in this context), operations can be defined that convert a contravariant (upper) index into a covariant (lower) index and vice versa. A metric itself is a (symmetric) (0,2)-tensor, it is thus possible to contract an upper index of a tensor with one of lower indices of the metric. This produces a new tensor with the same index structure as the previous, but with lower index in the position of the contracted upper index. This operation is quite graphically known as lowering an index.Conversely the matrix inverse of the metric can be defined, which behaves as a (2,0)-tensor. This inverse metric can be contracted with a lower index to produce an upper index. This operation is called raising an index.ApplicationsContinuum mechanicsImportant examples are provided by continuum mechanics. The stresses inside a solid body or fluid are described by a tensor. The stress tensor and strain tensor are both second order tensors, and are related in a general linear elastic material by a fourth-order elasticity tensor. In detail, the tensor quantifying stress in a 3-dimensional solid object has components that can be conveniently represented as a 3×3 array. The three faces of a cube-shaped infinitesimal volume segment of the solid are each subject to some given force. The force's vector components are also three in number. Thus, 3×3, or 9 components are required to describe the stress at this cube-shaped infinitesimal segment. Within the bounds of this solid is a whole mass of varying stress quantities, each requiring 9 quantities to describe. Thus, a second order tensor is needed.If a particular surface element inside the material is singled out, the material on one side of the surface will apply a force on the other side. In general, this force will not be orthogonal to the surface, but it will depend on the orientation of the surface in a linear manner. This is described by a tensor of type (2,0), in linear elasticity, or more precisely by a tensor field of type (2,0), since the stresses may vary from point to point.Other examples from physicsCommon applications include∙Electromagnetic tensor(or Faraday's tensor) in electromagnetism∙Finite deformation tensors for describing deformations and strain tensor for strain in continuum mechanics∙Permittivity and electric susceptibility are tensors in anisotropic media∙Four-tensorsin general relativity (e.g. stress-energy tensor), used to represent momentum fluxes∙Spherical tensor operators are the eigen functions of the quantum angular momentum operator in spherical coordinates∙Diffusion tensors, the basis of Diffusion Tensor Imaging, represent rates of diffusion in biologic environments∙Quantum Mechanicsand Quantum Computing utilise tensor products for combination of quantum statesApplications of tensors of order > 2The concept of a tensor of order two is often conflated with that of a matrix. Tensors of higher order do however capture ideas important in science and engineering, as has been shown successively in numerous areas as they develop. This happens, for instance, in the field of computer vision, with the trifocal tensor generalizing the fundamental matrix.The field of nonlinear optics studies the changes to material polarization density underextreme electric fields. The polarization waves generated are related to the generating electric fields through the nonlinear susceptibility tensor. If the polarization P is not linearly proportional to the electric field E, the medium is termed nonlinear. To a good approximation (for sufficiently weak fields, assuming no permanent dipole moments are present), P is given by a Taylor series in E whose coefficients are the nonlinear susceptibilities:Here is the linear susceptibility, gives the Pockels effect and secondharmonic generation, and gives the Kerr effect. This expansion shows the way higher-order tensors arise naturally in the subject matter.Generalizations[edit]Tensors in infinite dimensionsThe notion of a tensor can be generalized in a variety of ways to infinite dimensions. One, for instance, is via the tensor product of Hilbert spaces.[15]Another way of generalizing the idea of tensor, common in nonlinear analysis, is via the multilinear maps definition where instead of using finite-dimensional vector spaces and their algebraic duals, one uses infinite-dimensional Banach spaces and their continuous dual.[16] Tensors thus live naturally on Banach manifolds.[17]Tensor densitiesMain article: Tensor densityIt is also possible for a tensor field to have a "density". A tensor with density r transforms as an ordinary tensor under coordinate transformations, except that it is also multiplied by the determinant of the Jacobian to the r th power.[18] Invariantly, in the language of multilinear algebra, one can think of tensor densities as multilinear maps taking their values in a density bundle such as the (1-dimensional) space of n-forms (where n is the dimension of the space), as opposed to taking their values in just R. Higher "weights" then just correspond to taking additional tensor products with this space in the range.In the language of vector bundles, the determinant bundle of the tangent bundle is a line bundle that can be used to 'twist' other bundles r times. While locally the more general transformation law can indeed be used to recognise these tensors, there is aglobal question that arises, reflecting that in the transformation law one may write either the Jacobian determinant, or its absolute value. Non-integral powers of the (positive) transition functions of the bundle of densities make sense, so that the weight of a density, in that sense, is not restricted to integer values.Restricting to changes of coordinates with positive Jacobian determinant is possible on orientable manifolds, because there is a consistent global way to eliminate the minus signs; but otherwise the line bundle of densities and the line bundle of n-forms are distinct. For more on the intrinsic meaning, see density on a manifold.SpinorsMain article: SpinorStarting with an orthonormal coordinate system, a tensor transforms in a certain way when a rotation is applied. However, there is additional structure to the group of rotations that is not exhibited by the transformation law for tensors: see orientation entanglementand plate trick. Mathematically, the rotation group is not simply connected. Spinors are mathematical objects that generalize the transformation law for tensors in a way that is sensitive to this fact.Einstein summation conventionThe Einstein summation convention dispenses with writing summation signs, leaving the summation implicit. Any repeated index symbol is summed over: if the index i is used twice in a given term of a tensor expression, it means that the term is to be summed for all i. Several distinct pairs of indices may be summed this way.。

解决数学问题英文作文

In the realm of mathematics, solving intricate problems often necessitates more than mere application of formulas or algorithms. It requires an astute understanding of underlying principles, a creative perspective, and the ability to analyze problems from multiple angles. This essay will delve into a hypothetical complex mathematical problem and outline a multi-faceted approach to its resolution, highlighting the importance of analytical reasoning, strategic planning, and innovative thinking.Suppose we are faced with a challenging combinatorial optimization problem – the Traveling Salesman Problem (TSP). The TSP involves finding the shortest possible route that visits every city on a list exactly once and returns to the starting point. Despite its deceptively simple description, this problem is NP-hard, which means there's no known efficient algorithm for solving it in all cases. However, we can explore several strategies to find near-optimal solutions.Firstly, **Mathematical Modeling**: The initial step is to model the problem mathematically. We would represent cities as nodes and the distances between them as edges in a graph. By doing so, we convert the real-world scenario into a mathematical construct that can be analyzed systematically. This phase underscores the significance of abstraction and formalization in mathematics - transforming a complex problem into one that can be tackled using established mathematical tools.Secondly, **Algorithmic Approach**: Implementing exact algorithms like the Held-Karp algorithm or approximation algorithms such as the nearest neighbor or the 2-approximation algorithm by Christofides can help find feasible solutions. Although these may not guarantee the absolute optimum, they provide a benchmark against which other solutions can be measured. Here, computational complexity theory comes into play, guiding our decision on which algorithm to use based on the size and characteristics of the dataset.Thirdly, **Heuristic Methods**: When dealing with large-scale TSPs, heuristic methods like simulated annealing or genetic algorithms can offerpractical solutions. These techniques mimic natural processes to explore the solution space, gradually improving upon solutions over time. They allow us to escape local optima and potentially discover globally better solutions, thereby demonstrating the value of simulation and evolutionary computation in problem-solving.Fourthly, **Optimization Techniques**: Leveraging linear programming or dynamic programming could also shed light on the optimal path. For instance, using the cutting-plane method to iteratively refine the solution space can lead to increasingly accurate approximations of the optimal tour. This highlights the importance of advanced optimization techniques in addressing complex mathematical puzzles.Fifthly, **Parallel and Distributed Computing**: Given the computational intensity of some mathematical problems, distributing the workload across multiple processors or machines can expedite the search for solutions. Cloud computing and parallel algorithms can significantly reduce the time needed to solve large instances of TSP.Lastly, **Continuous Learning and Improvement**: Each solved instance provides learning opportunities. Analyzing why certain solutions were suboptimal can inform future approaches. This iterative process of analysis and refinement reflects the continuous improvement ethos at the heart of mathematical problem-solving.In conclusion, tackling a complex mathematical problem like the Traveling Salesman Problem involves a multi-dimensional strategy that includes mathematical modeling, selecting appropriate algorithms, applying heuristic methods, utilizing optimization techniques, leveraging parallel computing, and continuously refining methodologies based on feedback. Such a comprehensive approach embodies the essence of mathematical thinking – rigorous, adaptable, and relentlessly curious. It underscores that solving math problems transcends mere calculation; it’s about weaving together diverse strands of knowledge to illuminate paths through the labyrinth of numbers and logic.Word Count: 693 words(For a full 1208-word essay, this introduction can be expanded with more detailed explanations of each strategy, case studies, or examples showcasing their implementation. Also, the conclusion can be extended to discuss broader implications of the multi-faceted approach to problem-solving in various fields beyond mathematics.)。

计算机学科国际会议分级 2012

计算机学科国际会议分级说明:本列表合并了UCLA、NUS、NTU、CCF、清华大学计算机系、上海交大计算机系认可的国际会议,分级时采用了“就高”的原则。

Rank #1(1) AAAI: AAAI Conference on Artificial IntelligenceRefs: UCLA(1) CCF(1) NTU(1) SJTU(1) TSINGHUA(1) NUS(1)(2) CCS: ACM Conf on Comp and Communications SecurityRefs: UCLA(1) CCF(1) NTU(1) SJTU(1) TSINGHUA(1) NUS(1)(3) CRYPTO: International Cryptology ConferenceRefs: UCLA(1) CCF(1) NTU(1) SJTU(1) TSINGHUA(1) NUS(1)(4) CVPR: IEEE Conf on Comp Vision and Pattern RecognitionRefs: UCLA(1) CCF(1) NTU(1) SJTU(1) TSINGHUA(1) NUS(1)(5) FOCS: IEEE Symp on Foundations of Computer ScienceRefs: UCLA(1) CCF(1) NTU(1) SJTU(1) TSINGHUA(1) NUS(1)(6) HPCA: IEEE Symp on High-Perf Comp ArchitectureRefs: UCLA(1) CCF(1) NTU(1) SJTU(1) TSINGHUA(1) NUS(1)(7) ICCV: International Conf on Computer VisionRefs: UCLA(1) CCF(1) NTU(1) SJTU(1) TSINGHUA(1) NUS(1)(8) ICDE: Intl Conf on Data EngineeringRefs: UCLA(1) CCF(1) NTU(1) SJTU(1) TSINGHUA(1) NUS(1)(9) ICML: Intl Conf on Machine LearningRefs: UCLA(1) CCF(1) NTU(1) SJTU(1) TSINGHUA(1) NUS(1)(10) ICSE: Intl Conf on Software EngineeringRefs: UCLA(1) CCF(1) NTU(1) SJTU(1) TSINGHUA(1) NUS(1)(11) IJCAI: International Joint Conference on Artificial IntelligenceRefs: UCLA(1) CCF(1) NTU(1) SJTU(1) TSINGHUA(1) NUS(1)(12) INFOCOM: Annual Joint Conf IEEE Comp & Comm SocRefs: UCLA(1) CCF(1) NTU(1) SJTU(1) TSINGHUA(1) NUS(1)(13) ISCA: ACM/IEEE Symp on Computer ArchitectureRefs: UCLA(1) CCF(1) NTU(1) SJTU(1) TSINGHUA(1) NUS(1)(14) MICRO: Intl Symp on MicroarchitectureRefs: UCLA(1) CCF(1) NTU(1) SJTU(1) TSINGHUA(1) NUS(1)(15) MOBICOM: ACM Intl Conf on Mobile Computing and NetworkingRefs: UCLA(1) CCF(1) NTU(1) SJTU(1) TSINGHUA(1) NUS(1)(16) OOPSLA: OO Programming Systems, Languages and ApplicationsRefs: UCLA(1) CCF(1) NTU(1) SJTU(1) TSINGHUA(1) NUS(1)(17) POPL: ACM-SIGACT Symp on Principles of Prog LangsRefs: UCLA(1) CCF(1) NTU(1) SJTU(1) TSINGHUA(1) NUS(1)(18) SIGCOMM: ACM Conf on Comm Architectures, Protocols & AppsRefs: UCLA(1) CCF(1) NTU(1) SJTU(1) TSINGHUA(1) NUS(1)(19) SIGGRAPH: ACM SIGGRAPH ConferenceRefs: UCLA(1) CCF(1) NTU(1) SJTU(1) TSINGHUA(1) NUS(1)(20) SIGMOD: ACM SIGMOD Conf on Management of DataRefs: UCLA(1) CCF(1) NTU(1) SJTU(1) TSINGHUA(1) NUS(1)(21) STOC: ACM Symp on Theory of ComputingRefs: UCLA(1) CCF(1) NTU(1) SJTU(1) TSINGHUA(1) NUS(1)(22) VLDB: Very Large Data BasesRefs: UCLA(1) CCF(1) NTU(1) SJTU(1) TSINGHUA(1) NUS(1)(23) ACL: Annual Meeting of the Association for Computational LinguisticsRefs: UCLA(1) CCF(2) NTU(1) SJTU(1) TSINGHUA(1) NUS(1)(24) ACM-MM: ACM Multimedia ConferenceRefs: UCLA(1) CCF(1) NTU(1) SJTU(1) TSINGHUA(2) NUS(1)(25) NIPS: Annual Conference on Neural Information Processing SystemsRefs: UCLA(1) CCF(2) NTU(1) SJTU(1) TSINGHUA(1) NUS(1)(26) PLDI: ACM SIGPLAN Symposium on Programming Language Design & Implementation Refs: UCLA(1) CCF(2) NTU(1) SJTU(1) TSINGHUA(1) NUS(1)(27) S&P: IEEE Symposium on Security and PrivacyRefs: UCLA(1) CCF(1) NTU(1) SJTU(1) TSINGHUA(2) NUS(1)(28) SIGMETRICS: ACM Conf on Meas. & Modelling of Comp SysRefs: UCLA(1) CCF(2) NTU(1) SJTU(1) TSINGHUA(1) NUS(1)(29) WWW: International World Wide Web ConferenceRefs: UCLA(1) CCF(2) NTU(1) SJTU(1) TSINGHUA(1) NUS(1)(30) FSE: ACM Conf on the Foundations of Software EngineeringRefs: UCLA(1) CCF(1) NTU(1) TSINGHUA(1) NUS(1)(31) ICDCS: International Conference on Distributed Computing SystemsRefs: UCLA(2) CCF(2) NTU(1) SJTU(1) TSINGHUA(2) NUS(1)(32) LICS: IEEE Symp on Logic in Computer ScienceRefs: UCLA(1) CCF(2) NTU(1) SJTU(1) TSINGHUA(2) NUS(1)(33) ASPLOS: Architectural Support for Programming Languages and Operating Systems Refs: UCLA(1) CCF(2) NTU(1) TSINGHUA(1) NUS(1)(34) COLT: Annual Conference on Computational Learning TheoryRefs: UCLA(1) CCF(2) NTU(1) TSINGHUA(1) NUS(1)(35) PODS: ACM SIGMOD Conf on Principles of DB SystemsRefs: UCLA(1) CCF(2) NTU(1) TSINGHUA(1) NUS(1)(36) PPoPP: Principles and Practice of Parallel ProgrammingRefs: UCLA(1) CCF(2) NTU(1) TSINGHUA(1) NUS(1)(37) SIGIR: ACM SIGIR Conf on Information RetrievalRefs: UCLA(1) CCF(2) NTU(1) SJTU(1) TSINGHUA(1)(38) SODA: ACM/SIAM Symp on Discrete AlgorithmsRefs: UCLA(1) CCF(2) NTU(1) TSINGHUA(1) NUS(1)(39) UAI: Conference on Uncertainty in AIRefs: UCLA(1) CCF(2) NTU(1) TSINGHUA(1) NUS(1)(40) DAC: Design Automation ConfRefs: UCLA(1) NTU(1) TSINGHUA(1) NUS(1)(41) KDD: Knowledge Discovery and Data MiningRefs: UCLA(1) NTU(1) TSINGHUA(1) NUS(1)(42) SOSP: ACM SIGOPS Symp on OS PrinciplesRefs: UCLA(1) NTU(1) TSINGHUA(1) NUS(1)(43) ICALP: International Colloquium on Automata, Languages and ProgrammingRefs: UCLA(2) CCF(2) NTU(2) SJTU(1) TSINGHUA(2) NUS(2)(44) IPDPS: Intl Parallel and Dist Processing SympRefs: UCLA(2) CCF(2) NTU(2) SJTU(1) TSINGHUA(3) NUS(2)(45) AAMAS: Intl Conf on Autonomous Agents and Multi-Agent SystemsRefs: UCLA(1) CCF(2) NTU(1) TSINGHUA(3) NUS(1)(46) CAV: Computer Aided VerificationRefs: UCLA(1) CCF(3) NTU(1) TSINGHUA(2) NUS(1)(47) FM/FME: Formal Methods, World Congress/EuropeRefs: UCLA(1) CCF(2) NTU(1) TSINGHUA(3) NUS(1)(48) I3DG: ACM-SIGRAPH Interactive 3D GraphicsRefs: UCLA(1) CCF(3) NTU(1) TSINGHUA(2) NUS(1)(49) ICDT: Intl Conf on Database TheoryRefs: UCLA(1) CCF(2) NTU(1) TSINGHUA(2) NUS(1)(50) ICFP: Intl Conf on Function ProgrammingRefs: UCLA(1) CCF(2) NTU(1) TSINGHUA(2) NUS(1)(51) ICNP: Intl Conf on Network ProtocolsRefs: UCLA(1) CCF(2) NTU(1) TSINGHUA(2) NUS(1)(52) JICSLP/ICLP/ILPS: Joint Intl Conf/Symp on Logic ProgRefs: UCLA(1) CCF(2) NTU(1) TSINGHUA(2) NUS(1)(53) KR: International Conference on Principles of Knowledge Representation and Reasoning Refs: UCLA(1) CCF(2) NTU(1) TSINGHUA(2) NUS(1)(54) PACT: International Conference on Parallel Architectures and Compilation Techniques Refs: UCLA(1) CCF(2) NTU(1) TSINGHUA(2) NUS(1)(55) RTSS: IEEE Real-Time Systems SymposiumRefs: UCLA(1) CCF(2) NTU(1) TSINGHUA(2) NUS(1)(56) SPAA: ACM Symp on Parallel Algorithms and ArchitecturesRefs: UCLA(1) CCF(2) NTU(1) TSINGHUA(2) NUS(1)(57) DCC: Data Compression ConfRefs: UCLA(1) NTU(1) TSINGHUA(3) NUS(1)(58) ICCAD: Intl Conf on Computer-Aided DesignRefs: UCLA(1) NTU(1) TSINGHUA(2) NUS(1)(59) ISSAC: Intl Symp on Symbolic and Algebraic ComputationRefs: UCLA(1) NTU(1) TSINGHUA(3) NUS(1)(60) PODC: ACM Symp on Principles of Distributed ComputingRefs: UCLA(1) NTU(1) TSINGHUA(2) NUS(1)(61) SCG: ACM Symp on Computational GeometryRefs: UCLA(1) CCF(2) NTU(1) NUS(1)(62) PECCS: IFIP Intl Conf on Perf Eval of Comp & Comm SysRefs: UCLA(1) NTU(1) NUS(1)(63) SOSDI: Usenix Symp on OS Design and ImplementationRefs: UCLA(1) NTU(1) NUS(1)(64) CIKM: Intl Conf on Information and Knowledge ManagementRefs: UCLA(2) CCF(2) NTU(1) TSINGHUA(2) NUS(2)(65) RECOMB: Annual Intl Conf on Comp Molecular BiologyRefs: UCLA(2) NTU(1) TSINGHUA(2) NUS(1)(66) RTAS: IEEE Real-Time and Embedded Technology and Applications SymposiumRefs: CCF(3) NTU(1) TSINGHUA(2) NUS(1)(67) ISMB: International Conference on Intelligent Systems for Molecular BiologyRefs: NTU(1) TSINGHUA(2) NUS(1)(68) OSDI: Symposium on Operation systems design and implementationRefs: SJTU(1) TSINGHUA(1)(69) SIGKDD: ACM Conf on Knowledge Discovery and Data MiningRefs: CCF(1) SJTU(1)(70) EUROCRYPT: European Conf on CryptographyRefs: UCLA(1) CCF(2) NTU(2) TSINGHUA(2) NUS(2)(71) MOBIHOC: ACM International Symposium on Mobile Ad Hoc Networking and Computing Refs: UCLA(1) CCF(2) TSINGHUA(2)(72) FAST: Conference on File and Storage TechnologiesRefs: CCF(2) TSINGHUA(1)(73) NSDI: Symposium on Network System Design and Implementation Refs: CCF(2) TSINGHUA(1)(74) SC: IEEE/ACM Conference on SupercomputingRefs: SJTU(1) TSINGHUA(2)(75) USENIX Symp on Internet Tech and SysRefs: UCLA(2) NTU(1)(76) MassPar: Symp on Frontiers of Massively Parallel ProcRefs: UCLA(1)(77) OPENARCH: IEEE Conf on Open Arch and Network ProgRefs: UCLA(1)(78) SIGCHI: ACM SIG CHIRefs: CCF(1)(79) Ubicomp: International Conference on Ubiquitous Computing Refs: TSINGHUA(1)Rank #2(80) COLING: International Conference on Computational LinguisticsRefs: UCLA(2) CCF(2) NTU(2) TSINGHUA(2) NUS(2)(81) CONCUR: International Conference on Concurrency TheoryRefs: UCLA(2) CCF(2) NTU(2) TSINGHUA(2) NUS(2)(82) ECCV: European Conference on Computer VisionRefs: UCLA(2) CCF(2) NTU(2) TSINGHUA(2) NUS(2)(83) USENIX Security: USENIX Security SymposiumRefs: UCLA(2) CCF(2) NTU(2) TSINGHUA(2) NUS(2)(84) ALT: International Conference on Algorithmic Learning TheoryRefs: UCLA(2) CCF(2) NTU(2) TSINGHUA(4) NUS(2)(85) ASE: International Conference on Automated Software EngineeringRefs: UCLA(2) CCF(2) NTU(2) TSINGHUA(3) NUS(2)(86) ASIACRYPT: Annual International Conference on the Theory and Application of Cryptology and Information SecurityRefs: UCLA(2) CCF(2) NTU(2) TSINGHUA(3) NUS(2)(87) CC: International Conference on Compiler ConstructionRefs: UCLA(2) CCF(2) NTU(2) TSINGHUA(3) NUS(2)(88) DATE: IEEE/ACM Design, Automation & Test in Europe ConferenceRefs: UCLA(2) CCF(2) NTU(2) TSINGHUA(3) NUS(2)(89) ECAI: European Conference on Artificial IntelligenceRefs: UCLA(2) CCF(2) NTU(2) TSINGHUA(4) NUS(2)(90) ECML: European Conference on Machine LearningRefs: UCLA(2) CCF(2) NTU(2) TSINGHUA(3) NUS(2)(91) EDBT: International Conference on Extending DB TechnologyRefs: UCLA(2) CCF(2) NTU(2) TSINGHUA(3) NUS(2)(92) EMNLP: Conference on Empirical Methods in Natural Language ProcessingRefs: UCLA(2) CCF(2) NTU(2) TSINGHUA(3) NUS(2)(93) ER: Intl Conf on Conceptual ModelingRefs: UCLA(2) CCF(2) NTU(2) TSINGHUA(3) NUS(2)(94) ESOP: European Symposium on ProgrammingRefs: UCLA(2) CCF(3) NTU(2) TSINGHUA(2) NUS(2)(95) Euro-Par: European Conference on Parallel ProcessingRefs: UCLA(2) CCF(2) NTU(2) TSINGHUA(3) NUS(2)(96) FSTTCS: Conference on Foundations of Software Technology and Theoretical Computer ScienceRefs: UCLA(2) CCF(2) NTU(2) TSINGHUA(3) NUS(2)(97) ICPP: Intl Conf on Parallel ProcessingRefs: UCLA(2) CCF(2) NTU(2) TSINGHUA(3) NUS(2)(98) ICSR: IEEE Intl Conf on Software ReuseRefs: UCLA(2) CCF(2) NTU(2) TSINGHUA(4) NUS(2)(99) MFCS: Mathematical Foundations of Computer ScienceRefs: UCLA(2) CCF(2) NTU(2) TSINGHUA(3) NUS(2)(100) PEPM: ACM SIGPLAN Symposium on Partial Evaluation and Semantics Based Programming ManipulationRefs: UCLA(2) CCF(2) NTU(2) TSINGHUA(4) NUS(2)(101) RTA: International Conference on Rewriting Techniques and ApplicationsRefs: UCLA(2) CCF(2) NTU(2) TSINGHUA(3) NUS(2)(102) SAS: International Static Analysis SymposiumRefs: UCLA(2) CCF(2) NTU(2) TSINGHUA(3) NUS(2)(103) STACS: Symp on Theoretical Aspects of Computer ScienceRefs: UCLA(2) CCF(2) NTU(2) TSINGHUA(3) NUS(2)(104) TACAS: International Conference on Tools and Algorithms for the Construction and Analysis of SystemsRefs: UCLA(2) CCF(2) NTU(2) TSINGHUA(3) NUS(2)(105) CP: Intl Conf on Principles & Practice of Constraint ProgRefs: UCLA(2) CCF(2) NTU(2) NUS(2)(106) CSFW: IEEE Computer Security Foundations WorkshopRefs: CCF(2) NTU(2) TSINGHUA(2) NUS(2)(107) CSSAC: Cognitive Science Society Annual ConferenceRefs: UCLA(2) CCF(2) NTU(2) NUS(2)(108) ECOOP: European Conference on Object-Oriented ProgrammingRefs: CCF(2) NTU(2) TSINGHUA(2) NUS(2)(109) IEEEIT: IEEE Symposium on Information TheoryRefs: UCLA(2) CCF(2) NTU(2) NUS(2)(110) ISRE: Requirements EngineeringRefs: UCLA(2) CCF(2) NTU(2) NUS(2)(111) PG: Pacific GraphicsRefs: UCLA(2) CCF(2) NTU(2) NUS(2)(112) CGI: Computer Graphics InternationalRefs: UCLA(2) CCF(3) NTU(2) TSINGHUA(3) NUS(2)(113) FCCM: IEEE Symposium on Field Programmable Custom Computing MachinesRefs: UCLA(2) CCF(3) NTU(2) TSINGHUA(3) NUS(2)(114) FoSSaCS: International Conference on Foundations of Software Science and Computation StructuresRefs: UCLA(2) CCF(3) NTU(2) TSINGHUA(3) NUS(2)(115) ICC: IEEE International Conference on CommunicationsRefs: UCLA(2) CCF(3) NTU(2) TSINGHUA(4) NUS(2)(116) ICDM: IEEE International Conference on Data MiningRefs: UCLA(3) CCF(2) NTU(2) TSINGHUA(2) NUS(3)(117) ICME: IEEE International Conference on Multimedia & ExpoRefs: UCLA(3) CCF(2) NTU(2) TSINGHUA(4) NUS(2)(118) ICPR: Intl Conf on Pattern RecognitionRefs: UCLA(2) CCF(3) NTU(2) TSINGHUA(4) NUS(2)(119) ICS: Intl Conf on SupercomputingRefs: UCLA(2) CCF(3) NTU(2) TSINGHUA(3) NUS(2)(120) LCN: IEEE Annual Conference on Local Computer NetworksRefs: UCLA(2) CCF(3) NTU(2) TSINGHUA(4) NUS(2)(121) NDSS: Network and Distributed System Security SymposiumRefs: UCLA(2) CCF(2) NTU(4) TSINGHUA(2) NUS(4)(122) NOSSDAV: Network and Operating System Support for Digital Audio and Video Refs: UCLA(2) CCF(3) NTU(2) TSINGHUA(3) NUS(2)(123) CADE: Conference on Automated DeductionRefs: UCLA(2) NTU(2) TSINGHUA(3) NUS(2)(124) CAiSE: Intl Conf on Advanced Info System EngineeringRefs: UCLA(2) CCF(3) NTU(2) NUS(2)(125) CoNLL: Conference on Natural Language LearningRefs: UCLA(2) CCF(3) NTU(2) NUS(2)(126) CoopIS: Conference on Cooperative Information SystemsRefs: UCLA(2) NTU(2) TSINGHUA(3) NUS(2)(127) DAS: International Workshop on Document Analysis SystemsRefs: UCLA(2) NTU(2) TSINGHUA(4) NUS(2)(128) DASFAA: Database Systems for Advanced ApplicationsRefs: UCLA(2) CCF(3) NTU(2) NUS(2)(129) DEXA: Database and Expert System ApplicationsRefs: UCLA(2) CCF(3) NTU(2) NUS(2)(130) EACL: Annual Meeting of European Association Computational Linguistics Refs: UCLA(2) NTU(2) TSINGHUA(3) NUS(2)(131) ESA: European Symp on AlgorithmsRefs: UCLA(2) NTU(2) TSINGHUA(3) NUS(2)(132) ICCL: IEEE Intl Conf on Computer LanguagesRefs: UCLA(2) NTU(2) TSINGHUA(4) NUS(2)(133) ICDAR: International Conference on Document Analysis and Recognition Refs: UCLA(2) CCF(3) NTU(2) NUS(2)(134) ICECCS: IEEE Intl Conf on Eng. of Complex Computer SystemsRefs: UCLA(2) CCF(3) NTU(2) NUS(2)(135) ICIP: Intl Conf on Image ProcessingRefs: UCLA(2) NTU(2) TSINGHUA(3) NUS(2)(136) ICSM: Intl Conf on Software MaintenanceRefs: CCF(2) NTU(2) TSINGHUA(4) NUS(2)(137) ICTAI: IEEE International Conference on Tools with Artificial IntelligenceRefs: UCLA(2) CCF(3) NTU(2) NUS(2)(138) IJCNN: Intl Joint Conference on Neural NetworksRefs: UCLA(2) CCF(3) NTU(2) NUS(2)(139) IPCO: MPS Conf on integer programming & comb optimizationRefs: UCLA(2) NTU(2) TSINGHUA(3) NUS(2)(140) ISAAC: Intl Symp on Algorithms and ComputationRefs: UCLA(2) NTU(2) TSINGHUA(4) NUS(2)(141) JCDL: ACM/IEEE Joint Conference on Digital LibrariesRefs: UCLA(2) NTU(2) TSINGHUA(3) NUS(2)(142) MASCOTS: Modeling, Analysis, and Simulation On Computer and Telecommunication SystemsRefs: UCLA(2) NTU(2) TSINGHUA(3) NUS(2)(143) NAACL: The Annual Conference of the North American Chapter of the Association for Computational LinguisticsRefs: UCLA(2) CCF(3) NTU(2) NUS(2)(144) PADL: Practical Aspects of Declarative LanguagesRefs: UCLA(2) NTU(2) TSINGHUA(3) NUS(2)(145) SEKE: International Conference on Software Engineering and Knowledge Engineering Refs: UCLA(2) CCF(3) NTU(2) NUS(2)(146) SRDS: Symp on Reliable Distributed SystemsRefs: UCLA(2) NTU(2) TSINGHUA(3) NUS(2)(147) SSDBM: Intl Conf on Scientific and Statistical DB MgmtRefs: UCLA(2) CCF(3) NTU(2) NUS(2)(148) VLSI: IEEE Symp VLSI CircuitsRefs: UCLA(2) NTU(2) TSINGHUA(4) NUS(2)(149) WACV: IEEE Workshop on Apps of Computer VisionRefs: UCLA(2) NTU(2) TSINGHUA(4) NUS(2)(150) WCNC: IEEE Wireless Communications & Networking ConferenceRefs: UCLA(2) CCF(3) NTU(2) NUS(2)(151) AI-ED: World Conference on AI in EducationRefs: UCLA(2) NTU(2) NUS(2)(152) AID: Intl Conf on AI in DesignRefs: UCLA(2) NTU(2) NUS(2)(153) AMAI: Artificial Intelligence and MathsRefs: UCLA(2) NTU(2) NUS(2)(154) AMIA: American Medical Informatics Annual Fall Symposium Refs: UCLA(2) NTU(2) NUS(2)(155) ASAP: Intl Conf on Apps for Specific Array Processors Refs: UCLA(2) NTU(2) NUS(2)(156) ASS: IEEE Annual Simulation SymposiumRefs: UCLA(2) NTU(2) NUS(2)(157) CAIP: Inttl Conf on Comp. Analysis of Images and Patterns Refs: UCLA(2) NTU(2) NUS(2)(158) CANIM: Computer AnimationRefs: UCLA(2) NTU(2) NUS(2)(159) CC: IEEE Symp on Computational ComplexityRefs: UCLA(2) NTU(2) NUS(2)(160) CCC: Cluster Computing ConferenceRefs: UCLA(2) NTU(2) NUS(2)(161) DNA: Meeting on DNA Based ComputersRefs: UCLA(2) NTU(2) NUS(2)(162) DOOD: Deductive and Object-Oriented DatabasesRefs: UCLA(2) NTU(2) NUS(2)(163) EUROCOLT: European Conf on Learning TheoryRefs: UCLA(2) NTU(2) NUS(2)(164) EUROGRAPH: European Graphics ConferenceRefs: UCLA(2) NTU(2) NUS(2)(165) FODO: Intl Conf on Foundation on Data OrganizationRefs: UCLA(2) NTU(2) NUS(2)(166) HCS: Hot Chips SympRefs: UCLA(2) NTU(2) NUS(2)(167) IAAI: Innovative Applications in AIRefs: UCLA(2) NTU(2) NUS(2)(168) IEEE Intl Conf on Formal Engineering MethodsRefs: UCLA(2) NTU(2) NUS(2)(169) IPCCC: IEEE Intl Phoenix Conf on Comp & Communications Refs: UCLA(2) NTU(2) NUS(2)(170) IPTPS: Annual International Workshop on Peer-To-Peer Systems Refs: UCLA(2) CCF(2) TSINGHUA(2)(171) ISTCS: Israel Symp on Theory of Computing and Systems Refs: UCLA(2) NTU(2) NUS(2)(172) Intl Conf on Integrated Formal MethodsRefs: UCLA(2) NTU(2) NUS(2)(173) LATIN: Intl Symp on Latin American Theoretical Informatics Refs: UCLA(2) NTU(2) NUS(2)(174) LFCS: Logical Foundations of Computer ScienceRefs: UCLA(2) NTU(2) NUS(2)(175) MMCN: ACM/SPIE Multimedia Computing and Networking Refs: UCLA(2) NTU(2) NUS(2)(176) NetStore: Network Storage SymposiumRefs: UCLA(2) NTU(2) NUS(2)(177) PADS: ACM/IEEE/SCS Workshop on Parallel & Dist Simulation Refs: UCLA(2) NTU(2) NUS(2)(178) PT: Perf Tools - Intl Conf on Model Tech & Tools for CPE Refs: UCLA(2) NTU(2) NUS(2)(179) SSD: Intl Symp on Large Spatial DatabasesRefs: UCLA(2) NTU(2) NUS(2)(180) SUPER: ACM/IEEE Supercomputing ConferenceRefs: UCLA(2) NTU(2) NUS(2)(181) SWAT: Scandinavian Workshop on Algorithm TheoryRefs: UCLA(2) NTU(2) NUS(2)(182) SenSys: ACM Conference on Embedded Networked Sensor SystemsRefs: UCLA(2) CCF(2) TSINGHUA(2)(183) WADS: Workshop on Algorithms and Data StructuresRefs: UCLA(2) NTU(2) NUS(2)(184) WCW: Web Caching WorkshopRefs: UCLA(2) NTU(2) NUS(2)(185) WSC: Winter Simulation ConferenceRefs: UCLA(2) NTU(2) NUS(2)(186) DSN: The International Conference on Dependable Systems and NetworksRefs: UCLA(2) CCF(2) NTU(4) TSINGHUA(3) NUS(4)(187) CASES: International Conference on Compilers, Architecture, and Synthesis for Embedded SystemsRefs: CCF(3) NTU(2) TSINGHUA(3) NUS(2)(188) CODES+ISSS: Intl Conf on Hardware/Software Codesign & System SynthesisRefs: CCF(3) NTU(2) TSINGHUA(3) NUS(2)(189) ISSTA: International Symposium on Software Testing and AnalysisRefs: CCF(2) NTU(4) TSINGHUA(2) NUS(4)(190) WCRE: SIGSOFT Working Conf on Reverse EngineeringRefs: UCLA(3) NTU(3) TSINGHUA(4) NUS(2)(191) ACSAC: Annual Computer Security Applications ConferenceRefs: UCLA(2) CCF(2) TSINGHUA(3)(192) APLAS: Asian Symposium on Programming Languages and SystemsRefs: CCF(3) NTU(2) NUS(2)(193) CSCW: Conference on Computer Supported Cooperative WorkRefs: NTU(2) TSINGHUA(3) NUS(2)(194) ESEC: European Software Engineering ConfRefs: UCLA(2) CCF(2) TSINGHUA(3)(195) ESORICS: European Symposium on Research in Computer Security Refs: UCLA(2) CCF(2) TSINGHUA(3)(196) FPL: Field-Programmable Logic and ApplicationsRefs: CCF(3) NTU(2) NUS(2)(197) Fast Software EncryptionRefs: UCLA(3) NTU(2) NUS(2)(198) GECCO: Genetic and Evolutionary Computation ConferenceRefs: CCF(3) NTU(2) NUS(2)(199) HASKELL: Haskell WorkshopRefs: UCLA(4) NTU(2) NUS(2)(200) IC3N: Intl Conf on Comp Comm and NetworksRefs: UCLA(3) NTU(2) NUS(2)(201) IEEE VisualizationRefs: NTU(2) TSINGHUA(3) NUS(2)(202) IMC: Internet Measurement Conference/WorkshopRefs: UCLA(3) CCF(2) TSINGHUA(2)(203) IWSSD: International Workshop on Software Specifications & Design Refs: UCLA(2) CCF(3) NTU(2)(204) PPDP: Principles and Practice of Declarative ProgrammingRefs: NTU(4) TSINGHUA(4) NUS(2)(205) RAID: International Symposium on Recent Advances in Intrusion Detection Refs: UCLA(2) CCF(2) TSINGHUA(4)(206) WABI: Workshop on Algorithms in BioinformaticsRefs: NTU(2) TSINGHUA(3) NUS(2)(207) DSIC: Intl Symp om Distributed ComputingRefs: NTU(2) NUS(2)(208) DocEng: ACM Symposium on Document EngineeringRefs: NTU(2) NUS(2)(209) EUROSYS: EUROSYSRefs: CCF(2) TSINGHUA(2)(210) European Symposium on Research in Computer SecurityRefs: NTU(2) NUS(2)(211) HPDC: IEEE International Symposium on High Performance Distributed Computing Refs: CCF(2) TSINGHUA(2)(212) IEEE/WIC: International Joint Conf on Web Intelligence and Intelligent Agent Technology Refs: NTU(2) NUS(2)(213) ISSCC: IEEE Intl Solid-State Circuits ConfRefs: UCLA(2) NTU(2)(214) MOBISYS: International Conference on Mobile Systems, Applications, and Services Refs: UCLA(2) TSINGHUA(2)(215) MPC: Mathematics of Program ConstructionRefs: NTU(2) NUS(2)(216) MPPOI: Massively Par Proc Using Opt InterconnsRefs: UCLA(2) NTU(2)(217) SCA: ACM/Eurographics Symposium on Computer AnimationRefs: CCF(2) TSINGHUA(2)(218) SSR: ACM SIGSOFT Working Conf on Software ReusabilityRefs: UCLA(2) NTU(2)(219) UIST: ACM Symposium on User Interface Software and TechnologyRefs: CCF(2) TSINGHUA(2)(220) CSL: Annual Conf on Computer Science LogicRefs: UCLA(3) CCF(2) NTU(3) TSINGHUA(4) NUS(3)(221) IH: Workshop on Information HidingRefs: UCLA(3) CCF(2) NTU(3) TSINGHUA(3) NUS(3)(222) COMPSAC: International Computer Software and Applications ConferenceRefs: UCLA(3) CCF(2) NTU(3) NUS(3)(223) FCT: International Symposium Fundamentals of Computation TheoryRefs: UCLA(3) CCF(2) NTU(3) NUS(3)(224) ICCB: International Conference on Case-Based ReasoningRefs: UCLA(3) CCF(2) NTU(3) NUS(3)(225) ICRA: IEEE Intl Conf on Robotics and AutomationRefs: UCLA(4) CCF(2) NTU(3) NUS(4)(226) ILP: International Workshop on Inductive Logic ProgrammingRefs: CCF(2) NTU(4) TSINGHUA(4) NUS(4)(227) PKDD: European Conference on Principles and Practice of Knowledge Discovery in DatabasesRefs: CCF(2) NTU(3) TSINGHUA(3) NUS(4)(228) EC: ACM Conference on Electronic CommerceRefs: NTU(4) TSINGHUA(2) NUS(4)(229) IJCAR: International Joint Conference on Automated ReasoningRefs: CCF(2) NTU(4) NUS(4)(230) IPSN: International Conference on Information Processing in Sensor NetworksRefs: UCLA(2) CCF(3) TSINGHUA(3)(231) ITC: IEEE Intl Test ConfRefs: UCLA(2) NTU(4) NUS(4)(232) MiddlewareRefs: NTU(4) TSINGHUA(2) NUS(4)(233) PPSN: Parallel Problem Solving from NatureRefs: NTU(4) CORE(2) NUS(4)(234) TLCA: Typed Lambda Calculus and ApplicationsRefs: CCF(2) NTU(4) NUS(4)(235) CCC: IEEE Conference on Computational ComplexityRefs: CCF(2) TSINGHUA(4)(236) CEC: IEEE Congress on Evolutionary ComputationRefs: CCF(3) CORE(2)(237) CLUSTER: Cluster ComputingRefs: CCF(2) TSINGHUA(3)(238) CoNEXT: ACM International Conference on emerging Networking EXperiments and TechnologiesRefs: CCF(2) TSINGHUA(4)(239) ECDL: European Conference on Digital LibrariesRefs: NTU(4) NUS(2)(240) EGSR: Eurographics Symposium on RenderingRefs: CCF(2) TSINGHUA(4)(241) EuroGraphics: EuroGraphics Symposium on geometry processingRefs: CCF(2) TSINGHUA(3)(242) FPGA: International Symposium on Field-Programmable Gate ArraysRefs: CCF(2) TSINGHUA(3)(243) GCSE: International Conference on Generative and Component-Based Software Engineering Refs: NTU(4) NUS(2)(244) ICAPS: International Conference on Automated Planning and SchedulingRefs: CCF(2) TSINGHUA(3)(245) ISSS: International Symposium on System SynthesisRefs: UCLA(2) TSINGHUA(3)(246) IWQoS: International Workshop on Quality of ServiceRefs: CCF(2) TSINGHUA(3)(247) Networking: International Conferences on NetworkingRefs: CCF(2) TSINGHUA(4)(248) PKC: International Workshop on Practice and Theory in Public Key CryptographyRefs: CCF(2) TSINGHUA(4)(249) Percom: International Conference on Pervasive Computing and CommunicationsRefs: CCF(2) TSINGHUA(3)(250) SDM: SIAM International Conference on Data MiningRefs: CCF(2) TSINGHUA(3)(251) SPM: ACM Solid and Physical Modeling SymposiumRefs: CCF(2) TSINGHUA(4)(252) TCC: Theory of Cryptography ConferenceRefs: CCF(2) TSINGHUA(3)(253) ACM SIGARCHRefs: CCF(2)(254) AOSD: Aspect-Oriented Software DevelopmentRefs: TSINGHUA(2)(255) CHI: Computer Human InteractionRefs: TSINGHUA(2)(256) ECRTS: Euromicro Conference on Real-Time SystemsRefs: CORE(2)(257) EuroVis: Eurographics/IEEE-VGTC Symposium on VisualizationRefs: CCF(2)(258) GP: Genetic Programming ConferenceRefs: UCLA(2)(259) HOT CHIPS: A Symposium on High Performance ChipsRefs: CCF(2)(260) ICCD: International Conference on Computer DesignRefs: CCF(2)(261) ICMI: International Conference on Multimodal InterfaceRefs: CCF(2)(262) ICWE: International Conference on Web EngineeringRefs: NUS(2)(263) ISWC: International Semantic Web ConferenceRefs: TSINGHUA(2)(264) IWCASE: Intl Workshop on Computer-Aided Software EngRefs: UCLA(2)(265) LCTES: Conference on Language, Compiler and Tool Support for Embedded Systems Refs: CCF(2)(266) MFPS: Mathematical Foundations of Programming SemanticsRefs: CCF(2)(267) MSST: Mass Storage Systems and TechnologiesRefs: CCF(2)(268) MoDELS: International Conference on Model Driven Engineering Languages and Systems Refs: CCF(2)(269) SGP: Eurographics Symposium on Geometry ProcessingRefs: CCF(2)(270) TCS: IFIP International Conference on Theoretical Computer ScienceRefs: CCF(2)(271) WDAG: Workshop on Distributed AlgorithmsRefs: UCLA(2)Rank #3(272) ECIR: European Conference on Information RetrievalRefs: UCLA(3) CCF(3) NTU(3) TSINGHUA(3) NUS(3)(273) MDM: Intl Conf on Mobile Data Access/ManagementRefs: UCLA(3) CCF(3) NTU(3) TSINGHUA(3) NUS(3)(274) ACCV: Asian Conference on Computer VisionRefs: UCLA(3) CCF(3) NTU(3) NUS(3)(275) APSEC: Asia-Pacific Software Engineering ConferenceRefs: UCLA(3) CCF(3) NTU(3) NUS(3)(276) Globecom: IEEE Global Communications Conference, incorporating the Global Internet SymposiumRefs: UCLA(3) CCF(3) NTU(3) NUS(3)(277) ICANN: International Conf on Artificial Neural NetworksRefs: UCLA(3) CCF(3) NTU(3) NUS(3)(278) ICONIP: Intl Conf on Neural Information ProcessingRefs: UCLA(3) CCF(3) NTU(3) NUS(3)(279) ICPADS: Intl Conf on Parallel and Distributed SystemsRefs: UCLA(3) CCF(3) NTU(3) NUS(3)(280) LOPSTR: International Symposium on Logic-based Program Synthesis and Transformation Refs: UCLA(3) CCF(3) NTU(3) NUS(3)(281) NOMS: IEEE Network Operations and Management SympRefs: UCLA(3) CCF(3) NTU(3) NUS(3)(282) PAKDD: Pacific-Asia Conf on Know. Discovery & Data MiningRefs: UCLA(3) CCF(3) NTU(3) NUS(3)(283) PRICAI: Pacific Rim Intl Conf on AIRefs: UCLA(3) CCF(3) NTU(3) NUS(3)(284) SAC: ACM/SIGAPP Symposium on Applied ComputingRefs: UCLA(3) CCF(3) NTU(3) NUS(3)(285) FASE: Fundamental Approaches to Software EngineeringRefs: UCLA(3) NTU(3) TSINGHUA(4) NUS(3)。

algorithmic使用手册

文章标题:深度剖析algorithmic的使用手册一、algorithmic的简介algorithmic是一种用于排版算法描述的LaTeX宏包,它提供了一组用于排版算法描述的命令。

通过algorithmic,用户可以方便地使用LaTeX排版漂亮的算法描述,从而让算法描述更加清晰、易读且专业。

二、algorithmic的基本使用1. 算法描述的开始和结束在使用algorithmic宏包时,首先需要引入宏包,然后在文档中使用algorithmic环境来包裹算法描述的内容。

算法描述的内容需要在begin{algorithmic}和end{algorithmic}之间进行书写。

2. 使用命令描述算法步骤在algorithmic环境中,可以使用一系列的命令来描述算法的具体步骤,比如使用\STATE命令来描述一个算法的状态,使用\IF...\ELSE...\ENDIF命令来描述一个条件判断等。

3. 控制算法的结构algorithmic宏包还提供了一些控制算法结构的命令,比如\REPEAT...\UNTIL命令用于描述循环结构,\FOR...\ENDFOR命令用于描述for循环等,这些命令可以让算法描述更加清晰和规范。

三、如何写出高质量的算法描述1. 清晰的逻辑结构在使用algorithmic宏包时,需要保持算法描述的逻辑结构清晰,让读者可以一目了然地理解算法的实现思路和步骤。

2. 准确的描述细节在书写算法描述时,需要注意语句的表达要准确无误,避免出现歧义,同时需要注意对算法中涉及到的变量和参数进行准确描述。

3. 合理的注释和解释在算法描述中,需要合理地添加注释和解释,对一些复杂的过程和逻辑进行说明,让读者更容易地理解算法的实现细节。

四、个人观点和理解algorithmic宏包作为一种用于排版算法描述的工具,在书写科技类文章和论文时起到了至关重要的作用。

我个人认为,掌握algorithmic的使用方法,可以让算法描述更加清晰、规范和专业,从而提高文章的质量和专业度。

  1. 1、下载文档前请自行甄别文档内容的完整性,平台不提供额外的编辑、内容补充、找答案等附加服务。
  2. 2、"仅部分预览"的文档,不可在线预览部分如存在完整性等问题,可反馈申请退款(可完整预览的文档不适用该条件!)。
  3. 3、如文档侵犯您的权益,请联系客服反馈,我们会尽快为您处理(人工客服工作时间:9:00-18:30)。

28 September 2000, 493 - 496 (2000) © Macmillan Publishers Ltd.Nature 407Logical computation using algorithmic self-assembly of DNA triple-crossover moleculesCHENGDE MAO*, THOMAS H. LABEAN†, JOHN H. REIF† & NADRIAN C. SEEMAN** Department of Chemistry, New York University, New York, 10003, USA &† Department of Computer Science, Duke University, Durham, North Carolina 27707, USACorrespondence and requests for materials should be addressed to N.C.S. (e-mail: ned.seeman@).Recent work has demonstrated the self-assembly of designed periodic two-dimensional arrays composed of DNA tiles, in which the intermolecular contacts are directed by 'sticky' ends. In a mathematical context,aperiodic mosaics may be formed by the self-assembly of 'Wang'tiles , a process that emulates the operation of a Turing machine.Macroscopic self-assembly has been used to perform computations ;there is also alogical equivalence between DNA sticky ends and Wang tile edges . This suggests that the self-assembly of DNA-based tiles could be used to perform DNA-based computation . Algorithmic aperiodic self-assembly requires greater fidelity than periodic self-assembly,because correct tiles must compete with partially correct tiles. Here we report a one-dimensional algorithmic self-assembly of DNA triple-crossover molecules that can be used to execute four steps of a logical (cumulative XOR) operation on a string of binary bits.1-345, 6789A variety of different DNA tile types have been used in previous assemblies,including double-crossover molecules , triple-crossover molecules , and parallelograms produced from Holliday junction analogues . Here we have used triple-crossover molecules; their molecular structure is illustrated in . The molecule contains four strands (shown in red, green, blue and purple) that self-assemble through Watson–Crick base pairing to produce three double helices in a roughly planar arrangement; each double helix is connected to adjacent double helical domains at two points where their strands cross over between them. The ends of the central double helix are closed by hairpin loops, but the other helices can terminate in sticky ends containing information that directs the assembly of the tiles.193Fig. 1aCalculation of cumulative XOR by self-assembly of DNA tiles.Figure 1Full legend(129k)High resolution image and legendIn periodic assemblies, the sticky ends contain positional information that directs the associations of one or more tile types to produce a periodic lattice. Here, the sticky ends serve the same role, but the self-assembly of the tiles is used to perform a computation, and the arrangement of the tiles does not display simple periodicity.shows the tiles used to perform the cumulative XOR calculation. The tiles are represented schematically; the three helices are depicted as connected rectangular forms terminating in sticky ends, which are represented as geometrical shapes, or non-cohesive blunt ends and hairpins, which are drawn flush.Figure 1b The result of the XOR operation is a 0 if two input numbers are the same (two zeros or two ones), but it is 1 if one of the two numbers is 0 and the other is 1. The cumulative XOR consists of a series of Boolean inputs ,, , ... , and the output is also a series of Booleans, , , , ... ,where =,and for > 1, = XOR . The value of any in these calculations also reports the even or odd parity of the first values of . Thus, two different kinds of input x tiles are needed, one whose value is 0 and a second whose value is 1. Chemically,the value of a tile, 0 or 1, is denoted by the presence of a restriction site:Pvu II (CAGCTG) represents 0 and EcoR V (GATATC) represents 1.x 1x 2x 3x n y 1y 2y 3y n y 1x 1i y i y -1i x i y i i x The x tiles are shown in blue in : Their value (0 or 1) is shown in their central rectangle, the upper-left sticky end reports this value, and the upper-right and lower-left sticky ends provide the means of connecting successive x tiles. These sticky ends are shown as geometrically complementary, as they would be for a general set of 16 parallel calculations.However, to demonstrate the efficacy of the procedure, the calculations performed here are definite four-bit calculations for which the order of the input x tiles was specified exactly by a series of different sticky ends.Fig. 1b Like x tiles, two values of y tiles are necessary, again representing 0and 1. However, there are two ways to get each of these results: the value of a y tile can be 0 either because both inputs are 0 or because both are 1; likewise, the value of a y tile can be 1 because the value of one input is 0 and the other is 1, or vice versa. Thus, four different y tiles are needed.The y tiles are shown in red in . The tile values again are displayed on the central domain, and this value is reported by the sticky end on the right of the upper domain. The two inputs derive from the sticky ends on the left () and right () of the bottom domain. We note that the same sticky end in the inputdomain represents a given input, independent of the other end. For example, the right-side sticky end = 1 has the same shape (sticky end) regardless of whether the left-side sticky end represents = 0 (leading to a tile value of 1) or = 1 (leading to a tile value of 0).There are only two different left sticky ends in the input (bottom) domain,and likewise only two different right sticky ends. Consequently, both sticky ends on each tile must pair correctly for the proper tile to be inserted in the assembly. In contrast to periodic assembly, where correct tiles compete with incorrect tiles for each site in the lattice, here correct tiles are competing with partially correct tiles.Fig. 1b y 1i-x i x i y 1i-y -1i y i We have performed two different XOR-related self-assemblies, illustrated in and . In addition to the x and y tiles, two corner tiles, C1 and C2 (green in ) are used to initialize the two values of and , and to connect the input to the output. The self-assembly in has the inputs = = = 1 and = 0.These correspond to output values of = 1, = 0, and = = 1. In a second self-assembly (), = 1, = 0, = 1 and =0, corresponding to = = 1 and = = 0. Note that for > 1,the sticky ends on the bottom domain of each tile complement those on the tile on its left and the tile on its right.Fig. 1c d Fig. 1b x 1y 1Fig. 1c x 1x 2x 3x 4y 1y 2y 3y 4Fig. 1d x 1x 2x 3x 4y 1y 2y 3y 4i y i y -1i x i Once the self-assembly has occurred, it is necessary to extract the answer.For this purpose, each molecular tile contains a 'reporter strand', which traverses the tile in a diagonal pathway ;the reporter strand is illustrated as a thick red strand in the tile shown in , which is an x-type tile. Following self-assembly,the reporter strands are ligated to each other to produce a long reporter strand that contains the inputs and outputs 109Fig. 1aof the calculation. The ligated long reporter strand in the vicinity of the corner of the assembly is shown as a thick red strand on the molecular diagram in .Fig. 1e The sticky ends used in the assembly of the ––––– unit contain seven nucleotides,and the sticky ends used to include the tiles in the assembly contain five nucleotides. The tiles were first assembled individually from their component strands by cooling slowly from 90 °C to room temperature, as donepreviously . 20-m l aliquots of stock solutions (in USB ligation buffer) of both C tiles (100 nM),the four x tiles (100 nM), and the four y tiles (400 nM) were then combined and incubated for 30 min each at temperatures of 37, then 22,and finally 4 °C. During incubation and subsequent steps, 20-m l aliquots of three double helices, each with a sticky end (one helix to pair with the free sticky end on and two helices to pair with the two possible free sticky ends on ), that contained radioactively labelled PCR primers (800 nM) were also present in solution.C 1C 2x 1x 2x 3x 4y i 1-3x 4y 4Ligation was initiated by adding 20 units of T4 DNA ligase and, over a 3-hour period, the solution was brought slowly to 16 °C as ligation proceeded. The strand was amplified by polymerase chain reaction (PCR), using the primers that were ligated to each end of the long reporter strand. A strand of the proper length was eluted from a denaturing gel, was re-annealed, and was subjected to restriction by either of the restriction enzymes. The results are displayed in . The answer produces a barcode display, much like that used in ref. 11 to visualize the answers to RNA computation of chess problems. The correct answers are evident as dark bands in the gels shown in .Fig. 2Fig. 2Denaturing gels illustrating cumulative XOR calculations.Figure 2Full legend(47k)High resolution image and legend Small proportions of incorrect bands are visible on the original gels for both calculations. Thus, in lane 1 (EcoR V) of calculation 1, there is an incorrect band at the 0 position of , and a similar incorrect band in the 0 lane at is also present. However, if the array fills from the corner, some of the incorrect intensity could result from 'correct' molecules propagating the previous error. Similarly, calculation 2 has one detectable error band resulting from cleavage of EcoR V at .y 2y 3y 3y 3We estimate the error level to be about 2–5%, but quantitative error analysis is complicated by differential cleavage activities between the two enzymes, combined with the possibility of star-activity (sequence infidelity)and probable multiple cleavage of the same strand. Also, the individual enzymes cleave with different activities at different sites, as seen in the differential cleavage of the two EcoR V sites in the C2 tile. We may have reduced our observation of self-assembly errors by selecting only those tiles that ligatedcorrectly,because the enzyme specificity for exact pairing, although imperfect , may have performed some discrimination for the system. A previous two-molecule, single-step competition experiment estimated error rates below 1.6% (ref. ).1213The algorithmic molecular assembly described here demonstrates a non-trivial DNA computation done byself-assembly. Examples of SAT (satisfaction) problems solved in a DNA context entailed laboratory operations for each clause in a logical statement, whereas a single self-assembly step is used here. Thissuggests that computation by self-assembly may be scalable.Another recent work also uses only a single assembly step,but its scalability relies on proper hairpin formation in very long single-stranded molecules., , 11141516XOR computation on pairs of bits (as done here) can be used for executing a one-time pad cryptosystem that provides theoretically unbreakable security . Other applications could involve the algorithmically directed self-assembly of intricate patterns and smart materials. We used y tiles repetitively in both assemblies, and would need no more species of y tiles, regardless of the length of the calculation. Thus, if the assembly principles applied here can be extended to two and three dimensions, it will be possible to prepare nanoscale patterns and smart materials by laying out components algorithmically,without the need to specify and prepare a unique element for every position of the array.17By using more nucleotides in the sticky ends of the input tiles than the output tiles, we have used the principle of 'frames'This feature performs the computation in the presence of a well-defined border.Such borders are likely to be useful, because they set limits on the extent of the calculation or patterning; combining framed arrays will facilitate a modular approach to the process., , 6718 is available on 's World-Wide Web site () or as paper copy from the London editorial office of .Supplementary information Nature Nature Received 27 April 2000;accepted 3 August 2000References.1Winfree, E., Liu, F., Wenzler, L. A. & Seeman, N. C. Design and self-assembly of two-dimensional DNA crystals., 539-544 (1998).Nature 394Links.2Liu, F., Sha, R. & Seeman, N. C. Modifying the surface features of two-dimensional DNA crystals. , 917-922 (1999).J. Am. Chem. Soc.121.3Mao, C., Sun, W. & Seeman N. C. Designed two-dimensional DNA Holliday junction arrays visualized by atomic force microscopy. , 5437-5443 (1999).J. Am. Chem. Soc.121.4Wang, H. in Proceedings of a Symposium in the Mathematical Theory of Automata 23-26 (Polytechnic Press, New York, 1963)..5Rothemund, P. W. K. Using lateral capillary forces to compute by self-assembly. , 984-989 (2000).Proc. Nat. Acad. Sci. USA 97Links.6Winfree, E. in DNA Based Computers: Proceedings of a DIMACS Workshop, April 4, 1995, Princeton University (eds Lipton, R. J. & Baum, E. B.) 199-221 (American Mathematical Society, Providence, RI, 1996)..7Winfree, E. Algorithmic Self-Assembly of DNA. PhD Thesis, Caltech (1998)..8Adleman, L. Molecular computation of solutions to combinatorial problems. , 1021-1024 (1994).Science 266Links.9LaBean, T. et al. The construction, analysis, ligation and self-assembly of DNA triple crossover complexes. , 1848-1860 (2000).J. Am. Chem. Soc.122.10Seeman, N. C. Nucleic acid nanostructures and topology. , 3220-3238 (1998).Angew. Chem. Int. Edn Engl.37.11Faulhammer, D., Cukras, A. R., Lipton, R. J. & Landweber, L. F. Molecular computation: RNA solutions to chess problems. , 1385-1389 (2000).Proc. Natl Acad. Sci. USA 97.12Harada, K. & Orgel, L. E. Unexpected substrate specificity of T4 DNA ligase revealed by in vitro selection., 2287-2291 (1993).Nucleic Acids Res.21.13Winfree, E., Yang, X. & Seeman, N. C. in DNA Based Computers: II Proceedings of a DIMACS Workshop, June 10-12, 1996, Princeton University (eds Landweber, L. F. & Baum, E. B.) 217-254 (American Mathematical Society, Providence, RI, 1999)..14Liu, Q. et al. DNA computing on surfaces. , 175-179 (2000).Nature 403Links.15Pirrung, M. C. et al. The arrayed primer extension method for DNA microchip analysis. Molecular computation of satisfaction problems. , 1873-1882 (2000).J. Am. Chem. Soc.122.16Sakamoto, K. et al. Molecular computation by DNA hairpin formation. , 1223-1226 (2000).Science 288Links.17Gehani, A., LaBean, T. H. & Reif, J. H. in DNA Based Computers: Proceedings of a DIMACS Workshop, June 1999, MIT (ed. E. Winfree) (DIMACS Series in Discrete Mathematics and Theoretical Computer Science, American Mathematical Society, Providence, RI, in the press)..18Reif, J. H. in DNA Based Computers: III Proceedings of a DIMACS Workshop, June 23-25, 1997, University of Pennsylvania (eds Rubin, H. & Wood D. H.) 217-254 (American Mathematical Society, Providence, RI, 1999).We thank E. Winfree and A. Carbone for valuable discussions. This work has been supported by grants from DARPA and the National Science Foundation to J.H.R. and N.C.S.; ONR, USAF, NSF and NIH grants to N.C.S.; and NSF and ARO grants to J.H.R.Acknowledgements.Nature © Macmillan Publishers Ltd 2000 Registered No. 785998 England.。

相关文档
最新文档