My solution is as folllowing. This integration is hard to solve. I googled it, and found the result is 1/3*ln(1+sqrt(2)) + 1/15*(2+sqrt(2)) = 0.52140543.. please see the link below. http://mathworld.wolfram.com/SquareLinePicking.html http://www.stat.…

取自<Focus On 3D Terrain Programming>中的一段: bool CTERRAIN::MakeTerrainFault( int iSize, int iIterations, int iMinDelta, int iMaxDelta, float fFilter ) { ...... ............. ; iCurrentIteration<iIterations; iCurrentIteration++ ) { //calculate the he…

原题链接在这里:https://leetcode.com/problems/random-pick-with-weight/ 题目: Given an array w of positive integers, where w[i] describes the weight of index i, write a function pickIndex which randomly picks an index in proportion to its weight. Note: 1 <= w.l…

Given a list of non-overlapping axis-aligned rectangles rects, write a function pick which randomly and uniformily picks an integer point in the space covered by the rectangles. Note: An integer point is a point that has integer coordinates. A point …

1.字符串 字符串基本有两种类型,str和bytes >>> s="a" >>> type(s) <class 'str'>                    #字符串 -- > Unicode(日常编程中的内容使用的是这个) >>> s="中国" >>> s.encode("utf-8") b'\xe4\xb8\xad\xe5\x9b\xbd'    …

os: os.getcwd() 获取当前工作目录,即当前python脚本工作的目录路径 os.chdir("dirname") 改变当前脚本工作目录:相当于shell下cd os.curdir 返回当前目录: ('.') os.pardir 获取当前目录的父目录字符串名:('..') os.makedirs('dirname1/dirname2') 可生成多层递归目录 os.removedirs('dirname1') 若目录为空,则删除,并递归到上一级目录,如若也为空,则删除,依此类…

One of the most common questions we get is whether to estimate in time or points. It seems like points are used only “to avoid thinking about time” and they are essentially the same. Wrong. Let us give you the travel metaphor to give you an idea abou…

题目描述 On a plane are nn points ( x_{i}xi​ , y_{i}yi​ ) with integer coordinates between 00 and 10^{6}106 . The distance between the two points with numbers aa and bb is said to be the following value:  (the distance calculated by such formula is calle…

First off, we can use our Line-Point Distance code to test for the "BOUNDARY" case. If the distance from any segment to the test point is 0, then return "BOUNDARY". If you didn't have that code pre-written, however, it would probably b…

Let's make a DQN 系列 Let's make a DQN: Theory September 27, 2016DQN This article is part of series Let's make a DQN. 1. Theory2. Implementation3. Debugging4. Full DQN5. Double DQN and Prioritized experience replay (available soon) Introduction In Febr…

Hacker's guide to Neural Networks Hi there, I'm a CS PhD student at Stanford. I've worked on Deep Learning for a few years as part of my research and among several of my related pet projects is ConvNetJS - a Javascript library for training Neural Net…

Weka EM covariance description 1: Dear All, I am trying to find out what is the real meaning of the minStdDev parameter in the EM clustering algorithm. Can anyone help me? I have not looked at the code, but I suspect that the minStdDev is used as the…

State of Hyperparameter Selection DANIEL SALTIEL VIEW NOTEBOOK Historically hyperparameter determination has been a woefully forgotten aspect of machine learning. With the rise of neural nets - which require more hyperparameters, more precisely tuned…

Hi there, I'm a CS PhD student at Stanford. I've worked on Deep Learning for a few years as part of my research and among several of my related pet projects is ConvNetJS - a Javascript library for training Neural Networks. Javascript allows one to ni…

many Machine Learning problems involve thousands or even millions of features for each training instance. not only does this make training extremely slow,it can also make it much harder to find a good solution. this problem is often referred to as th…

# -*- coding: utf-8 -*- """ “Mesh”模块包含了有限元网格的不同类型. See the following implementations: * MeshTri,三角剖分网格 * MeshTet, 四面体剖分网格 * MeshQuad, 矩形剖分网格 * MeshHex, 六面体剖分网格 """ import matplotlib.pyplot as plt import matplotlib.tri as mtri…

提示:如果公式挂了请多刷新几次,MathJex的公式渲染速度并不是那么理想. 总的来说,还是自己太弱了啊.只做了T1,还WA了两发.今天还有一场CodeForces,晚上0点qwq... 题解还是要好好写的. A - Digit Sum 2 Time limit : 2sec / Memory limit : 256MB Score : 300 points Problem Statement Find the maximum possible sum of the digits (in bas…

About this Course This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting…

About this Course This course will teach you the "magic" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good res…

源代码地址:https://github.com/hopebo/hopelee 语言:C++ 301. Remove Invalid Parentheses Remove the minimum number of invalid parentheses in order to make the input string valid. Return all possible results. Note: The input string may contain letters other tha…

Array 数组 Array concatenation (数组拼接) 使用 Array.concat() ,通过在 args 中附加任何数组 和/或 值来拼接一个数组. const ArrayConcat = (arr, ...args) => [].concat(arr, ...args); // ArrayConcat([1], [1, 2, 3, [4]]) -> [1, 2, 3, [4]] Array difference (数组比较) 根据数组 b 创建一个 Set 对象,然后在…

训练集(train set) 验证集(validation set) 测试集(test set). http://blog.sina.com.cn/s/blog_4d2f6cf201000cjx.html 一般需要将样本分成独立的三部分训练集(train set),验证集(validation set)和测试集(test set).其中训练集用来估计模型,验证集用来确定网络结构或者控制模型复杂程度的参数,而测试集则检验最终选择最优的模型的性能如何.一个典型的划分是训练集占总样本的50%,而其它各…

本文主要介绍支持向量机理论推导及其工程应用. 1 基本介绍 支持向量机算法是一个有效的分类算法,可用于分类.回归等任务,在传统的机器学习任务中,通过人工构造.选择特征,然后使用支持向量机作为训练器,可以得到一个效果很好的base-line训练器. 支持向量机具有如下的优缺点, 优点: 高维空间有效: 维度大于样本数量的情况下,依然有效: 预测时使用训练样本的子集(也即支持向量),节省内存: 可以使用不同的核函数用于决策: 缺点: 如果特征的数目远远大于样本的数目,性能将会降低: 不能直接提供概率…

需要重采样的数据文件(Libsvm format),如heart_scale +1 1:0.708333 2:1 3:1 4:-0.320755 5:-0.105023 6:-1 7:1 8:-0.419847 9:-1 10:-0.225806 12:1 13:-1 -1 1:0.583333 2:-1 3:0.333333 4:-0.603774 5:1 6:-1 7:1 8:0.358779 9:-1 10:-0.483871 12:-1 13:1 .... 重采样后的数据保存文件(Lib…

Stat2.2x Probability(概率)课程由加州大学伯克利分校(University of California, Berkeley)于2014年在edX平台讲授. PDF笔记下载(Academia.edu) PRACTICE PROBLEMS FOR THE MIDTERM PROBLEM 1 In a group of 5 high school students, 2 are in 9th grade, 2 are in 10th grade, and 1 is in 12th…

The code i wrote a while ago recently caused a disaster and as I reviewed it I found it is the silliest code I've ever written, static int BadMaximalMatch(TListRef list1, int start1, int count1, TListRef list2, int start2, int count2, const IEquality…

Intrinsic Functions (DirectX HLSL) The following table lists the intrinsic functions available in HLSL. Each function has a brief description, and a link to a reference page that has more detail about the input argument and return type. Name Syntax D…

对于大多数 Java 开发人员来说,JAR 文件及其 “近亲” WAR 和 EAR 都只不过是漫长的 Ant 或 Maven 流程的最终结果.标准步骤是将一个 JAR 复制到服务器(或者,少数情况下是用户机)中的合适位置,然后忘记它. 事实上,JAR 能做的不止是存储源代码,您应该了解 JAR 还能做什么,以及如何进行.在这一期的 5 件事 系列中,将向您展示如何最大限度地利用 Java Archive 文件(有时候也可是 WAR 和 EAR),特别是在部署时. 由于有很多 Java 开发人员使…

Evil Time Limit: 5 Sec Memory Limit: 256 MB 题目连接 http://codeforces.com/gym/100463/attachments Description Richard is evil. He wants to give another geometry problem to the participants of this contest and I’m afraid I have no choice but to comply. Wh…

背景介绍 图像拼接是一项应用广泛的图像处理技术.根据特征点的相互匹配,可以将多张小视角的图像拼接成为一张大视角的图像,在广角照片合成.卫星照片处理.医学图像处理等领域都有应用.早期的图像拼接主要是运用像素值匹配的方法.后来,人们分别在两幅图像中寻找拐点.边缘等稳定的特征,用特征匹配的方法拼接图像.本实验根据Matthew Brown (2005) 描述的方法,实现多张生活照的拼接. 特征点捕捉 (Interest Point Detection) 首先,拍摄两张场景有重合的照片.为了保证有足够多…