曼哈顿FOV笔记
曼哈顿逻辑笔记

曼哈顿逻辑笔记
曼哈顿逻辑笔记主要涉及到曼哈顿距离和曼哈顿最小生成树。
曼哈顿距离是平面上两点之间的距离计算方式,具体为两点在横坐标和纵坐标上的差值的绝对值之和。
在曼哈顿空间中,点可以表示现实世界中的位置或状态,通过曼哈顿距离可以计算两个点之间的相对距离。
曼哈顿最小生成树是平面上若干个点,他们两两之间存在一条权为其dis的边,求这个图的最小生成树。
在计算过程中,可以利用曼哈顿距离的性质,将问题转化为在四个象限共分为八份中寻找最近点的问题,以降低计算的复杂度。
如需了解更多关于曼哈顿逻辑笔记的信息,建议查阅相关论坛或请教专业人士。
曼哈顿计划讲解

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文档下载后可定制随意修改,请根据实际需要进行相应的调整和使用,谢谢!并且,本店铺为大家提供各种各样类型的实用资料,如教育随笔、日记赏析、句子摘抄、古诗大全、经典美文、话题作文、工作总结、词语解析、文案摘录、其他资料等等,如想了解不同资料格式和写法,敬请关注!Download tips: This document is carefully compiled by the editor. I hope that after you download them, they can help yousolve practical problems. The document can be customized and modified after downloading, please adjust and use it according to actual needs, thank you!In addition, our shop provides you with various types of practical materials, such as educational essays, diary appreciation, sentence excerpts, ancient poems, classic articles, topic composition, work summary, word parsing, copy excerpts,other materials and so on, want to know different data formats and writing methods, please pay attention!曼哈顿计划,是世界上第一个成功研制出核武器的计划,也是现代历史上最具有影响力的科学研究项目之一。
曼哈顿距离破案公式

曼哈顿距离破案公式曼哈顿距离破案公式在犯罪侦破的过程中,如何在海量的数据中找出嫌疑人是警方面临的关键问题。
传统的调查方法很难从复杂的数据中找出规律,而建立数学模型则成为一个有效的解决方案。
曼哈顿距离破案公式就是其中之一。
曼哈顿距离是空间中两点之间的距离,它不同于欧几里得距离,欧几里得距离只考虑直线距离,而曼哈顿距离是沿着坐标轴的距离之和。
例如,对于平面上的两个点P (x1,y1)和Q(x2,y2),它们之间的曼哈顿距离为|x2-x1|+|y2-y1|。
虽然曼哈顿距离并不符合我们对距离的一些基本要求,但是它也有它独特的应用场景。
在大规模数据分析中,我们往往需要从众多的数据中找出与目标数据最为接近的数据。
而曼哈顿距离则可以有效地衡量两个数据之间的相似度。
曼哈顿距离破案公式则是基于曼哈顿距离来建立的一套侦破模型。
在曼哈顿距离破案公式中,我们将案件中的地点和时间信息抽象为平面直角坐标系中的点。
然后我们可以将嫌疑人的行动路径表示为一个序列P,其中Pi表示嫌疑人在时间i的位置信息。
通过计算曼哈顿距离,我们可以得到任意两个点之间的距离,例如两个嫌疑人之间或者是一个嫌疑人在不同的时间点之间的距离。
通过对这些距离进行分析,我们可以得出一些有助于侦破的结论。
例如,我们可以通过分析两个嫌疑人之间的距离是否越来越近来推断嫌疑人是否有交集。
还可以通过分析一个嫌疑人在不同的时间点之间的距离是否一致,来推断嫌疑人是否利用了交通工具,以及在什么时间和地点使用交通工具。
曼哈顿距离破案公式还可以和其他的数据分析技术结合起来,例如聚类分析、主成分分析等。
通过将曼哈顿距离破案公式和其他的数学模型结合起来,我们可以更加全面地分析犯罪事件,提高大规模案件数据的分析效率和准确度,提高犯罪侦破效率。
总之,曼哈顿距离破案公式是一个非常有价值的犯罪数据分析工具。
在现代犯罪侦破工作中,大量的数据需要用适当的方式进行获取、管理、分析和处理。
曼哈顿距离破案公式的出现,让复杂信息的分析更加简单和快捷,也为全球各国的犯罪侦破工作提供了更加系统、全面和高效的指导和帮助。
曼哈顿距离计算原理

曼哈顿距离计算原理在数学和计算机科学的领域中,距离的计算方式有多种,而曼哈顿距离是其中一种较为特别且实用的概念。
那么,什么是曼哈顿距离呢?让我们一步步来揭开它的神秘面纱。
想象一下,你身处一个规划整齐的城市,街道都是横平竖直的,就像一个巨大的棋盘。
你要从一个点走到另一个点,只能沿着水平和垂直的街道走,不能走斜线。
那么,你走过的水平距离和垂直距离的总和,就是这两个点之间的曼哈顿距离。
为了更直观地理解,我们假设在一个二维平面上有两个点 A(x1, y1) 和 B(x2, y2)。
那么,这两点之间的曼哈顿距离 d 可以通过以下公式计算:d =|x1 x2| +|y1 y2| 。
这里的“||”表示取绝对值。
为什么要用绝对值呢?这是因为距离不能是负数。
不管是在 x 方向还是 y 方向,移动的距离都是正的。
比如说,如果 x1 是 3,x2 是 5,那么在 x 方向上的距离就是|3 5| = 2;如果 y1 是 2,y2 是 7,那么在 y 方向上的距离就是|2 7| = 5。
最后把这两个方向上的距离加起来 2 + 5 = 7,这就是 A 点和 B 点之间的曼哈顿距离。
与我们熟悉的欧几里得距离相比,曼哈顿距离有着独特的特点和应用场景。
欧几里得距离是两点之间的直线距离,就像我们在几何中学习的那样,通过勾股定理计算。
而曼哈顿距离更侧重于考虑在规则的网格或路径中移动的成本。
在实际应用中,曼哈顿距离常常出现在路径规划、图像处理、数据分析等领域。
比如在物流配送中,货车只能沿着城市的街道行驶,不能穿越建筑物或者走斜线,这时计算两个地点之间的曼哈顿距离就能更准确地估计运输成本和时间。
在图像处理中,当比较两个像素的相似性或者计算图像的特征时,曼哈顿距离也能发挥作用。
假设我们有两个像素,它们的颜色值可以表示为三个分量(比如红、绿、蓝)。
通过计算这两个像素在每个颜色分量上的差值的绝对值之和,就能得到它们之间的曼哈顿距离,从而判断它们的相似程度。
向量间曼哈顿距离 颜色识别-概述说明以及解释

向量间曼哈顿距离颜色识别-概述说明以及解释1.引言在撰写本文之前,首先需要了解向量间曼哈顿距离和颜色识别的基本概念和应用。
本文将介绍向量间曼哈顿距离的定义和计算方法,以及颜色识别的概述和应用场景。
1.1 概述在计算机科学和数学领域,向量间曼哈顿距离是一种衡量两个向量之间的差异程度的度量方法。
它是通过计算两个向量中对应元素差的绝对值之和来衡量它们之间的距离。
曼哈顿距离得名于纽约曼哈顿区的城市街区地理结构,因为在该地区,行走只能沿着网格状的街道,而不像其他地区可以直接穿越建筑物。
因此,曼哈顿距离类似于在网格状的街区中行走的距离,必须按照直角路径移动。
颜色识别是一种计算机视觉领域的应用,其目的是从图像或视频中自动识别和分析不同的颜色。
通过使用计算机算法和技术,可以将像素的颜色信息转换为数字表示,并进行颜色空间的计算和比较,以实现颜色的识别和分类。
颜色识别在许多领域中都具有广泛的应用,比如图像处理、机器视觉、物体检测和跟踪等。
本文将重点介绍向量间曼哈顿距离和颜色识别的关系及其应用场景。
通过分析两个向量之间的曼哈顿距离,可以实现颜色识别任务,从而对不同颜色的像素进行分类和分析。
在接下来的章节中,我们将详细介绍向量间曼哈顿距离的定义和计算方法,以及颜色识别的概述和应用场景。
接下来的章节将依次介绍向量间曼哈顿距离和颜色识别的相关内容。
在向量间曼哈顿距离的部分,我们将详细讨论它的定义和计算方法,包括如何应用曼哈顿距离来衡量两个向量之间的差异程度。
而在颜色识别的部分,我们将介绍颜色的表示和计算方法,并探讨颜色识别在不同领域的应用场景。
希望通过本文的介绍,读者能够更好地理解向量间曼哈顿距离和颜色识别,并掌握它们在实际应用中的意义和作用。
同时,本文也可以作为进一步研究和学习的指导,为读者提供有关向量间曼哈顿距离和颜色识别的基础知识和思路。
1.2 文章结构文章结构文章主要分为引言、正文和结论三个部分。
1. 引言在引言部分,首先要给出整个文章的背景和研究领域的概述,介绍向量间曼哈顿距离和颜色识别的研究背景和意义。
曼哈顿距离的命名

曼哈顿距离的命名曼哈顿距离是一个在空间分析领域里应用普遍的距离加权算法,它最初是由俄国科学家费洛夫提出的,他将它作为一种“空间分流逻辑”的基础。
在1972年,克劳德曼哈顿提出了“曼哈顿距离”的概念,并用于地图测量和地理学,因此被称为“曼哈顿距离”。
曼哈顿距离的定义是:对两个点之间的距离,按照其在横轴和纵轴上的距离,沿着单位步长距离的和,计算而得到。
也就是说,它是把所有坐标轴方向上的距离之和,作为两个点之间的距离。
曼哈顿距离被广泛应用于许多方面,其中包括地理学专业估计距离和距离加权,机器学习和图像处理,数量学习等,甚至在搜索引擎算法中,都有着广泛的应用。
曼哈顿距离的衡量标准与传统的欧氏距离和几何距离有些不同,它更加简单,也更加实用。
曼哈顿距离可以衡量空间中两点之间的距离,而算法在计算两点之间距离时,只考虑行方向和列方向上的距离,而忽略离的斜方向移动。
曼哈顿距离能够更好地描述实际世界的距离,因为它只考虑垂直方向和水平方向的距离,而忽略了斜线方向的距离。
曼哈顿距离的应用非常广泛,它可以帮助研究者们更准确地预测人口分布情况,也有助于搜索引擎算法的精准度。
例如,在社交网络中,可以通过计算曼哈顿距离来找到与特定用户最接近的其他用户;在地图导航中,也可以通过计算曼哈顿距离来找到最短路径;在机器学习中,也可以通过曼哈顿距离来分析和预测数据,并使用它来识别网络中的模式。
总之,曼哈顿距离的出现标志着一种新的计算方式,可以更加准确的衡量和评估空间中不同点之间的距离,并且能够应用在众多科学领域,解决诸多实际问题上。
作为俄国科学家费洛夫和克劳德曼哈顿的伟大成就之一,曼哈顿距离的研究和应用,使得距离加权算法更加普及,也促进了数学理论和科学技术发展。
曼哈顿坐标系提取

曼哈顿坐标系提取摘要:1.曼哈顿坐标系的概念2.曼哈顿坐标系的特点3.曼哈顿坐标系的应用4.曼哈顿坐标系的提取方法正文:一、曼哈顿坐标系的概念曼哈顿坐标系,又称为网格坐标系或笛卡尔坐标系,是一种平面直角坐标系。
它是由两条互相垂直的数轴组成的,通常表示为x 轴和y 轴。
x 轴和y 轴的交点称为原点,原点以上的区域称为第一象限,原点以下的区域称为第四象限,x 轴左侧的区域称为第二象限,x 轴右侧的区域称为第三象限。
二、曼哈顿坐标系的特点曼哈顿坐标系具有以下特点:1.直观性:曼哈顿坐标系直观且易于理解,使得平面上的点可以用两个数(x,y)来表示,数轴上的点则用一个数表示。
2.坐标轴相互独立:x 轴和y 轴互相垂直,且它们是相互独立的,这意味着它们之间没有关联。
3.原点是坐标轴的交点:在曼哈顿坐标系中,x 轴和y 轴的交点称为原点,它是坐标系的中心。
三、曼哈顿坐标系的应用曼哈顿坐标系广泛应用于各种领域,如数学、物理、工程、计算机图形学等。
以下是一些具体的应用:1.计算机图形学:在计算机图形学中,曼哈顿坐标系通常用于表示二维图形和图像。
2.物理学:在物理学中,曼哈顿坐标系通常用于描述物体在空间中的位置和运动。
3.数学:在数学中,曼哈顿坐标系通常用于表示平面上的向量和矩阵。
四、曼哈顿坐标系的提取方法要提取曼哈顿坐标系,可以采用以下方法:1.确定坐标轴:首先,需要确定x 轴和y 轴,通常x 轴表示水平方向,y 轴表示垂直方向。
2.确定坐标单位:其次,需要确定坐标的单位,例如,每个单位长度可以表示1 米、1 厘米或1 像素等。
3.确定坐标轴的交点:最后,需要确定x 轴和y 轴的交点,该交点称为原点。
通过以上方法,可以提取出曼哈顿坐标系。
曼哈顿公式

曼哈顿公式曼哈顿公式,也被称为曼哈顿距离或城市街区距离,是一种用于计算两个点在标准坐标系中的距离的方法。
它得名于曼哈顿的街道规划,因为曼哈顿的街道形成了一个规整的方格网络,而曼哈顿公式的计算方式就是通过在这个方格网络中沿着街道行进来确定两点之间的距离。
曼哈顿公式的计算方式非常简单,只需要将两点的横坐标差值的绝对值与纵坐标差值的绝对值相加即可。
即:d = |x1 - x2| + |y1 - y2|。
其中,d表示两点间的曼哈顿距离,(x1, y1)和(x2, y2)表示两个点的坐标。
曼哈顿公式的应用非常广泛。
在城市规划中,曼哈顿公式可以用于确定最佳路径规划,特别适用于城市中存在街道网格的情况。
在物流配送中,曼哈顿公式可以用于计算货物从仓库到目标地的最短路径,帮助提高物流效率。
在电路布线中,曼哈顿公式可以用于计算电路元件之间的物理距离,从而优化布线方案。
除了在实际应用中,曼哈顿公式在算法设计中也有重要的作用。
在机器学习和数据挖掘中,曼哈顿距离常用于聚类算法中的距离度量。
在图像处理中,曼哈顿距离可以用于图像相似度的计算。
在路径规划算法中,曼哈顿距离可以作为启发式函数,用于指导搜索算法的方向选择。
曼哈顿公式的特点是忽略了实际路径的长度,仅仅关注两点之间的直线距离。
这使得曼哈顿公式在某些情况下可能不够准确。
例如,在真实的地理环境中,两点之间可能存在无法直线穿越的障碍物,这时曼哈顿公式计算的距离就不再准确。
此外,在某些特定场景下,其他距离度量方法可能更适合,如欧几里得距离或切比雪夫距离。
曼哈顿公式作为一种简单而有效的距离度量方法,在城市规划、物流配送、电路布线、机器学习等领域发挥着重要作用。
它的计算方式简单明了,应用范围广泛。
然而,我们也需要注意曼哈顿公式的局限性,根据具体应用场景选择合适的距离度量方法,以获得更准确的结果。
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曼哈顿FoV. CR笔记目录1.All about the Argument (1)Sound argument vs. valid argument (1)On the GMAT (2)The arguer’s job and your job (2)List of the twelve flaws (2)Details of the twelve flaws (3)A. Unjustified Assumptions (3)B. Causation Errors (4)C. Comparison Errors (5)D. Math Errors (6)E. Communication Errors (7)Find the gaps in arguments (7)2.Decoding the Question Stem and Stratege (8)1. All about the ArgumentSound argument vs.valid argumentEvery complete argument has two components written down on paper:• Premises—supporting statements• Conclusion— the main point or biggest claim of the argumentA sound argument is successful on every level: the premises are true, and the conclusion logically follows from the premises. When a conclusion follows logically from true premises, that conclusion is therefore true.A valid argument is one in which the conclusion follows logically from the premises—but the premises may or may not be true. In a valid argument, if the premises are true, then the conclusion will also be true.In a good, valid argument, the premises lead to the conclusion in a direct way. They provide enough evidence to guarantee the truth of the conclusion (which is occasionally implied rather than stated explicitly).On the GMATWhile soundness is the goal in real-life reasoning, GMAT questions tend to be more about validity.So, on the GMAT, avoid challenging the truth of the premises themselves.Focus on whether the argument is valid.The arguer’s job and your jobPeople’s brains are desi gned to make connections and to go beyond the arguer’s conclusi on.On the GMAT, however, you should note the speaker’s conclusion precisely.It’s the job of the arguer to prove his or her case to you by building a sound argument backed by appropriate evidence. Your job is simply to recognize flaws and omissions.List of the twelve flawsThese flaws overlap somewhat; it doesn’t really matter.This isn’t a full course in formal logic. What’s more important is that you understand the typicalversion of each flaw. This way, you can spot any of them on the test.A. Unjustified Assumptions1. Assumes Shared Beliefs2. Draws Extreme Conclusion3. Assumes Skill and/or Will4. Uses Vague or Altered Terms5. Assumes Signs of a Thing = Thing ItselfB. Causation Errors – 1. causal oversimplification6. Mixes up Correlation and Causation7. Assumes the Future = the Past – 4. all things are equal8. Assumes the Best Means SuccessC. Comparison Errors9. Has Selection Bias(Unrepresentative sample, survivor bias, ever-changing pool) – 6. Surveyis doubtful10. The Troubled Analogy – 3. false analogyD. Math Errors11. Confuses the Quantities (percent, rates, ratios)E. Communication Errors12. Missing the PointDetails of the twelve flawsA. Unjustified AssumptionsAn argument with this sort of flaw requires an unspoken and unsupported premise—that is, the authoris depending on a premise that he or she didn’t write down and hasn’t proven. Thus, the conclusioncan’t be validated unless the assumption can be proven.1. Assumes Shared BeliefsThe arguer assumes that the listener will share certain basic beliefs—some of which are mere impressions,prejudices, and so on.The speaker’s argument depends on the idea that ―teenagers under 16 are more likely to make theaters dirty and to damage the facilities,‖ the speaker didn’t even bother to write that—and he or she certainly didn’t prove it.D on’t take anything for granted, and don’t bring in outside ideas.It’s the arguer’s job to prove such an assumption. It’s your job to notice that thearguer hasn’t done so.2. Draws Extreme ConclusionThe conclusion uses language so extreme that the premises cannot justify that conclusion:Watch out for these extreme words: only, never, always, cannot, certainly, obviously, inevitably, most, least,best, worst.Theword best is quite extreme. Jogging is the best method ever? Better than swimming, tennis, and a millionother things? Even if you prove that jogging is better in some respect than stationary bicycling, allyou can say is that jogging is better than one other activity, not that it’s the best.Keep in mind that even a perfectly reasonable argument can be destroyed by too strong a conclusion.3. Assumes Skill and/or WillFor people to do something, they have to be able to do it, and they have to want to.Some arguments give you one piece but not the other.But both skill and willare necessary.4. Uses Vague or Altered TermsJust as you are on the lookout for extreme language, you’re also on the lookout for vague or altered language throughout the argument.Recall the People who jog argument:What on earth does it mean to exercise the same amount as someone who is jogging 10 miles? Does itmean biking for the same amount of time or the same distance? The same number of calories burned?It’s much faster to ride 10 miles on a stationary bike than to jog 10 miles, so if the arguer means thatthe distances are the same, then there’s another reason (besides the author’s conclusion) that the joggershave less heart disease: they are exercising more hours per week. Exercise the same amount is overlyvague. Question any term that’s insufficiently precise.Likewise, any change in terms through the course of the argument should make you arch an eyebrow. Whether the terms become more general or more specific, the argument now has a fissure in its logic.5. Assumes Signs of a Thing = Thing ItselfDon’t confuse external signsand reality. Quite often, the signs can be misleading.A false reporting effect is especially acute when people have an incentive (such as money) to over-report,or an incentive (such as fear or laziness) to under-report.For instance, reports of crimes such as litteringand jaywalking are infrequent—that doesn’t mean people aren’t committing those crimes all thetime. Reports of whiplash from car accidents, however, tend to be highly inflated (at least in the U.S.),since victims are often in a position to gain money from insurance companies. Reports of workplaceharassment or other improper working conditions may be less frequent than actual incidents if workersfear losing their jobs.Another common variation on this problem assumes that, because a law exists, people must be followingit. A law is not the same as compliance with a law.B. Causation ErrorsMany conclusions assert that something is the cause of something else, usually without the word ―cause‖ itself.Look closely at the verb: cause, make, force, lead to, prevent, protect, increase, decrease, reduce.Alsolook at infinitives (e.g. to reduce), which often indicate goals. The achievement of goals requires causation.6. Mixes up Correlation and CausationIf two things occur together (correlation), you can’t automatically concludethat a particular causal model is at work. Likewise, if X happenedshortly after Y, you cannot necessarily conclude that X was caused byY.To review: If X and Y seem to be correlated, and then there are four possibilities:(1) X causes Y.(2) Y causes X.(3) Z (some other phenomenon) causes both X and Y.(4) It’s an accident; you don’t have all the data.Logically, you cannot pick one of the four without eliminating all of the other three.On the GMAT, you’ll never be able to eliminate all three alternatives. But eliminating even one will strengthen your case.7. Assumes the Future = the Past8. Assumes the Best Means SuccessSometimes, a variety of options are available to solve a problem, but none of those options are very likelyto succeed. This does not affect whether an option can be considered the best, whether it had somebeneficial effect, or whether it could still be the best solution to a less severe version of the problem.For instance, if a new CEO is hired to try to rescue a company on the brink of bankruptcy, even thebest possible effort simply may not be enough. If someone dies of a terrible disease that does not meanthat he did not receive optimal medical care.Sometimes even the best thing fails.C. Comparison ErrorsThe assumption typically being that the two things are similar enough in the important ways to be compared.9. Has Selection BiasWhenever you compare two groups, you have to make sure that the two groups are legitimately comparable.So the membership of each group has to be selected appropriately. This is particularly tricky whenthe two groups seem comparable—for instance, when they are both drawn from the same population.There are a few variations of selection bias:9.1 Unrepresentative SampleWouldn’t that sample of customers be biased toward people who like you? After all, they filled out along survey for free. The potential for self-selection bias is strong here.Some customers who filled out a long survey for free said that they love our company.So our customers love our company.9.2 Survivor BiasHere, it is likely that those who lived to be 100 did so in part by not smoking, and that plenty of peopleborn 100 or more years ago did smoke and did not live to be 100.A survey of living people over 100 showed lower rates of cigarette smoking thanwere shown inevery other age group age 15 and up. Therefore, smoking is on therise.9.3 Ever-Changing PoolFive years ago, people opposed the new dorm, and now 80% of respondents to a poll like the dorm.Are the poll respondents the same population as the voters? Maybe the poll was conducted on or nearcampus; a high percentage of students in the poll would certainly skew results.A petition is circulating in Capital City opposing the building ofa new sportscenter at StateUniversity, on land now occupied by abandoned strip malls. Fiveyears ago, many city residents opposed the building of the new State Universitydormitory complex, yet in a poll this year, 80% of respondents said that buildingthe dormitory complex had been a good idea. If the people who currently opposethe new Sports Center are patient, they will change their minds.10.The Troubled AnalogyThere’s nothing wrong with a good analogy, but analogies in GMAT arguments are never good.Everytime you make an analogy, you’re saying that something is like something else— except that it isn’texactly like that, or you’d just be talking about the original topic.It’s your job to point out that the arguer has not established enoughsimilarities between the two objects to draw an effective analogy between them.D. Math ErrorsTo validate this claim, even just for one cat owner, you would need to know 1) how much more the catfood costs than the kind that the cat owner currently buys, 2) how much time the cat owner spendscleaning up hair, and 3) the monetary value of the cat owner’s time. That’s substantial!According to a recent study, cats that eat Premium Cat Food have healthier coatsand shed less hair than those that don't. While Premium Cat Food costs more, thetime saved cleaning up pet hair from furniture and rugs makes Premium Cat Fooda wise choice for cat owners.11. Confuses the QuantitiesCeladon, a new therapy for the treatment of addiction to the illegal drug taro Caine,has been proven effective in a study centered around Regis Hospital in thewestern part of the state of New Portsmouth. The study involved local taro Caineaddicts who responded to a newspaper ad offering free treatment. Participantswho received celadon and counseling were 40% more likely to recover thanwere patients assigned to a control group and who received only counseling.Conventional therapies have only a 20% recovery rate. Therefore, the best way toreduce deaths from taro Caine overdose throughout all of New Portsmouth would be to fund celadon therapy for all taro Caine addicts.40% certainly looks like a higher number than 20%. However, the 20% is an actual recovery rate for conventional therapies.The 40% is a percent increase on an unknown figure— the recovery rate of the control group. You haveno way to compare this to an actual 20% recovery rate. For instance, what if the control group hada 50% recovery rate? Then the cetadone group would have 70% recovery rate (1.4 x50). But what ifthe control group had a 1% recovery rate? Then the cetadone group would have a 1.4% recovery rate,making it much less successful than conventional therapies.Notice that you are mentally plugging innumbers to test a couple of valid cases at the extremes. Be ready to do the same.In short, if any numbers or numeric relationships are presented in an argument, determine whether theyare being cited in a logical way.A few other standard mathematical relationships show up in Critical Reasoning as well:Rate x Time = DistanceProfit = Revenue - Costs(Dollars per Hour) x Hours = DollarsE. Communication Errors12. Missing the PointSome people say we should consume less oil to lower our dependence on suppliesfrom politically unstable regions. But no one has yet proven the link betweenoil consumption and climate change.This type of flaw is very common when people argue over causes they feel deep emotions about.Find the g aps in a rgumentsFor each argument, draw the arrows and find out the gaps.There are gaps much larger than othersStudies have shown that students who go without lunch do poorly in school.Many students are hungry in school because they cannot afford to pack or buylunch. Therefore, a program of free school lunches should help these studentsperform at grade level.You might diagram it in this way:Note that the order of the premises has been slightly rearranged to put them in time order. Start at the beginning. Students can’t afford lunch, so they don’t eat lunch, so they do poorly in school. Is there agap?While it certainly does seem reasonable that a lack of food would contribute to poor academic performance,the gap here is related to Causation. Yes, the students are hungry and they are doing poorly,butis the hunger really causing the poor performance? How much of the poor performance is it causing?Could there be some other factor contributing to the poor performance?The second gap is much larger, though. Free lunch will help students perform at grade level? That’s quiteambitious. Unfortunately, there are entire schools in which the majority of children perform far belowgrade level, and it is doubtful that lunch alone would fix the entire problem.2. Decoding the Question Stem and StrategyGMAT Question stems fall into a few broad categories:✓Questions about Assumptions✓Questions about Evidence✓Questions about StructureIt can be helpful to categorize each question as involving Assumptions, Evidence, or Structure. Themost important thing is that you understand what the question specifically wants you to do. It is alsorecommended that you write down a brief note about the question as a reminder.Just remember tomaintain good strategy:✓read the question stem first,✓diagram the argument,✓anticipate the answer,✓anduse process of elimination.An example:While many people think of the lottery as a harmless way to have fun and possiblywin somemoney, buying lottery tickets is a form of gambling. Therefore, publicofficials shouldn't buylottery tickets.Which of the following, if true, would most strengthen the conclusion?You can mentally dismissthat part and think of the argument this way:Buying lottery tickets is a form of gambling. Therefore, public officials shouldn't buylotterytickets.Diagram the argument:Express the missing assumption yourself before proceeding. In general, identify assumptions before reading the answer choices, so you don’t get tricked by evil wrong ans wers that are there to distractyou.K eep in mind that you’re not just looking for a choice that supports the statement. You are looking specifically for a choice that supports this conclusionin the context of this argument.You need an answer that links the premise to the conclusion.If you’re having trouble withyour original argument, translate it to a simpler, crazier version. It will be easier to figure out the assumption.Weight lifting is a form of exercise. Therefore, public officials shouldn't lift weights.Then go back to the argument: The assumption here is Public officials shouldn't gamble. In your diagram, you would see it as PO'sshouldn't G.Some other points from the comments of the exercises:✓As a correct GMAT answer will not generally insult anyone.✓Some choices seem to be trying to argue against the premise mentioned in the argument, but since wealready take the premise as a fact, these choices don’t really have an impact on the argument—surely, they might be true, but that must have already beentaken into account. On average, the fact in premise is still valid.。