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Instant Complexity Time Limit: 1000MS Memory Limit: 10000K Description Analyzing the run-time complexity of algorithms is an important tool for designing efficient programs that solve a problem. An algorithm that runs in linear time is usually much f…
Runtime Complexity of .NET Generic Collection   I had to implement some data structures for my computational geometry class. Deciding whether to implement the data structures myself or using the build-in classes turned out to be a hard decision, as t…
O(1):constant - the operation doesn't depend on the size of its input, e.g. adding a node to the tail of a linked list where we always maintain a pointer to the tail node.int i=0;i++;++i;i+=6; O(n):linear - the run time complexity is proportionate to…
这一章比较短! 空间复杂度(space complexity)和辅助空间(auxiliary space)经常混用,下面是正确的辅助空间和空间复杂度的定义 辅助空间:算法需要用到的额外或者暂时的存储空间. 空间复杂度:是指算法所需要的所有存储空间,这是跟输入数据的大小决定的.空间复杂度包括辅助空间和保存输入的存储空间. 如果我们想比较几个标准的排序算法所需要的空间,那么用辅助空间来分析会比空间复杂度好.归并排序用了O(n)的辅助空间.而插入排序和堆排序用的O(1)的辅助空间.但是他们这些算法的空…
Instant Complexity Time Limit : 2000/1000ms (Java/Other)   Memory Limit : 20000/10000K (Java/Other) Total Submission(s) : 8   Accepted Submission(s) : 7 Problem Description Analyzing the run-time complexity of algorithms is an important tool for desi…
THE ARCHITECTURE OF COMPLEXITY HERBERT A. SIMON* Professor of Administration, Carnegie Institute of Technology (Read April 26, 1962)…
T(n)=aT(n/b)+f(n); where we can interpret n/b to mean either floor(b/n) or ceil(b/n), Then T (n) has the following asymptotic bounds: 1. If f (n)= O(nlogb a-c) for some constant c> 0, then T (n)=Θ(nlogb a)2.If f (n)= Θ(nlogb a), then T (n)=Θ(nlogb a…
The Brain vs Deep Learning Part I: Computational Complexity — Or Why the Singularity Is Nowhere Near July 27, 2015July 27, 2015 Tim Dettmers Deep Learning, NeuroscienceDeep Learning, dendritic spikes, high performance computing, neuroscience, singula…
The Password complexity is a Local Policy setting named "Passwords must meet complexity requirements" under Computer Configuration/Windows Settings/Security Settings/Account Policies/Password Policy. In a Server Core installation there is no gra…
今天在图书馆闲逛的时候偶然看见<Think Complexity>(复杂性思考)这本书,下午看了一会儿觉得很有意思.本书第二章讲的是用Python实现的图,特别写篇博客记录.   首先,图有两大元素:顶点和边.分别用Vertex和Edge类来描述顶点集和边集.   顶点集:Vertex class Vertex(object): """A Vertex is a node in a graph.""" def __init__(sel…
Original Link: http://www.ehow.com/how_4812793_password-complexity-requirements-windows-xp.html#ixzz32PEZAbOn When you create a new account in Windows XP, you choose a username and a password, which must be a certain length. If you want to get rid of…
博客搬到了fresky.github.io - Dawei XU,请各位看官挪步.最新的一篇是:推荐一个可以直接在Visual Studio中看到complexity的插件CodeMaid.…
The Model Complexity Myth (or, Yes You Can Fit Models With More Parameters Than Data Points) An oft-repeated rule of thumb in any sort of statistical model fitting is "you can't fit a model with more parameters than data points". This idea appea…
Time Limit: 1000MS   Memory Limit: 10000K Total Submissions: 1535   Accepted: 529 Description Analyzing the run-time complexity of algorithms is an important tool for designing efficient programs that solve a problem. An algorithm that runs in linear…
属于空间复杂度(Space Complexity)在很多情况下被错认为是附属空间(Auxiliary Space),下面是附属空间和空间复杂度的定义. 附属空间(Auxiliary Space)是算法使用的额外空间(extra space)或临时空间(temporary space). 空间复杂度(Space Complexity)指的是算法使用的总空间包括输入使用的空间. 空间复杂度包含附属空间和输入使用的空间. 算法对存储空间的需求和解决的问题息息相关.空间复杂度通常用数量级表示,如O(N2…
该章节证明用到的不等式:Hoeffding不等式,McDiarmid不等式以及jensen不等式 Hoeffding's: McDiarmid不等式是Hoeffding不等式的一个推广,用f(S)代替了和函数Sm,用ci代替了(bi-ai): Jensen’s inequality: If x is a random variable and φ is a convex function,then: φ(E(x))<=E(φ(x)) 在前面PAC Learning Model的推广中,只证明了对…
计算复杂度(Computational complexity):用于研究解决特定问题X的算法效率的框架 计算模型(Model of computation):可允许的操作(Allowable operations) 成本模型(Cost model):操作数(Operation counts) 复杂度上界(Upper bound):保证能在一定的时间内解决 复杂度下界(Lower bound):通过数学方法证明,必须花费的最少时间 最优算法(Optimal algorithm):可能达到的最小复杂…
Cyclomatic Code Complexity was first introduced by Thomas McCabe in 1976. In 1976, Thomas McCabe published a paper arguing that code complexity is defined by its control flow. Since that time, others have identified different ways of measuring comple…
Campwood Software SourceMonitor Version 3.5 The freeware program SourceMonitor lets you see inside your software source code to find out how much code you have and to identify the relative complexity of your modules. For example, you can use SourceMo…
Time complexity wise this solution is the best among all, we can do all operations in O(1) time. 时间复杂度这个解决方案是最好的,我们可以在O(1)时间内完成所有操作.(还是说经过时间检验的?)…
For Fibonacci Sequence, the space complexity should be the O(logN), which is the height of tree. Check the source…
http://aclweb.org/anthology/W18-0505 https://sites.google.com/site/nadeemf0755/research/linguistic-complexity https://github.com/Farahn/Liguistic-Complexity abstract:文本自动难度分析现有工作--基于知识驱动的特征作为输入的线性模型优点:可解释性缺点:短文本的准确率差传统的可读性指标:不能泛化到信息文本比如science我们的工作--…
Copied From:http://csfieldguide.org.nz/en/curriculum-guides/ncea/level-3/complexity-tractability-TSP.html This is a guide for students attempting Complexity and Tractability in digital technologies achievement standard 3.44. This guide is not officia…
Foundations of Machine Learning: Rademacher complexity and VC-Dimension(2) (一) 增长函数(Growth function) 在引入增长函数之前,我们先介绍一个例子,这个例子会有助于理解增长函数这个东西. 在input space为$\mathbb{R}$,假设空间为阈值函数,即当输入的点$x>v$时,将该点标为正.如 图1 为其中的6个假设. 图1 阈值函数示例 很显然,这个假设集合的大小为无限多个.但实际,我们很容易…
Foundations of Machine Learning: Rademacher complexity and VC-Dimension(1) 前面两篇文章中,我们在给出PAC-learnable定理时,都有一个前提假设,那就是 Hypothesis set 是有限的.但很明显,在实际中的假设集大都是无限的,比如上一篇文章中介绍的与坐标轴对齐的矩阵的例子,其 Hypothesis set 就是无限的. 假设我们也用上一章的方法来分析,最后得到的上界中含有无穷大的项$log|H|$, 显然这…
可以把growth function m_H(N)的upper bound用N^(k-1)来限制, for N large, k>=3 Thus, 定义: VC Dimension: maximum non-break point 如果break point = k, then VC dimension = k-1 在VC Dimension上,这个Hset可以shatter某N个点,不一定是所有的N个点,但是如果N超过了VC dimension,则出现了Hset不能shatter掉的情况。 d…
这是一道在<Introduction to 3D Game Programming with DirectX 11>上的练习题. 要求把某个像素点上的Depth Complexity(深度复杂度?)可视化输出.Depth Complexity即某个点上有多少次depth test. 根据题目中的提示,我们可以用stencil buffer完成. 简要步骤如下: 绘制场景,设置DepthStencilState为stencil test永远通过,通过后stencil buffer中的值+1.这样…
代码的环复杂度(Cyclomatic complexity,有的地方又翻译成圈复杂度)是一种代码复杂度的衡量标准,在1976年由Thomas J. McCabe, Sr. 提出. 在软件测试的概念里,圈复杂度用来衡量一个模块判定结构的复杂程度,数量上表现为独立线性路径条数,即合理的预防错误所需测试的最少路径条数.圈复杂度大说明程序代码可能质量低且难于测试和维护. 计算公式 环复杂度 = E − N + 2 E = 程序控制流图中边的个数 N = 程序控制流图中点的个数 看个具体的例子.下面这段A…
http://www.kdd.org/kdd2016/papers/files/rfp0697-chenAemb.pdf https://homes.cs.washington.edu/~tqchen/pdf/BoostedTree.pdf [Training Loss measures how well model fit on training data] [Regularization, measures complexity of model] [simple] [predictive]…
Coding Tree Depth Estimation for Complexity Reduction of HEVC <HEVC标准介绍.HEVC帧间预测论文笔记>系列博客,目录见:http://www.cnblogs.com/DwyaneTalk/p/5711333.html 2013 Data Compress Conference   核心思想:         在P1.8论文(将frame分为Fu和Fc,对于Fc帧中CTU的最大深度进行限定,最大深度的值根据Fu帧对应位置的CTU…