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Generating Gaussian Random Numbers http://www.taygeta.com/random/gaussian.html This note is about the topic of generating Gaussia  pseudo-random numbers given a source of uniform  pseudo-random numbers. This topic comes up more frequently than I woul…
Extracted from Section 17.4 Random Numbers, C++ Primer 5th. Ed. The random-number library generates random numbers through a set of cooperating classes: random-number engines and random-number distribution classes. An engine generates  a sequence of…
Tamref love random numbers, but he hates recurrent relations, Tamref thinks that mainstream random generators like the linear congruent generator suck. That's why he decided to invent his own random generator. As any reasonable competitive programmer…
Tamref love random numbers, but he hates recurrent relations, Tamref thinks that mainstream random generators like the linear congruent generator suck. That's why he decided to invent his own random generator. As any reasonable competitive programmer…
import numpy as np def test_run(): data=np.random.random((3,4)) """ [[ 0.80150549 0.96756513 0.18914514 0.85937016] [ 0.23563908 0.75685996 0.46804508 0.91735016] [ 0.70541929 0.04969046 0.75052217 0.2801136 ]] """ data=np.ra…
Most computer programs do the same thing every time they execute, given the same inputs, so they are said to be deterministic. Deterministic is usually a good thing, since we expect the same calculation to yield the same result. For some applications…
★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★➤微信公众号:山青咏芝(shanqingyongzhi)➤博客园地址:山青咏芝(https://www.cnblogs.com/strengthen/)➤GitHub地址:https://github.com/strengthen/LeetCode➤原文地址:https://www.cnblogs.com/strengthen/p/10305789.html ➤如果链接不是山青咏芝的博客园地址,则可能是爬取作者的文章…
We have the ability to select a single random card from a pile of twelve cards, but we would like to pull a total of nine. Not only that, we would like to match the same transition functions we have been writing all along. Lucky for use there are thr…
If is a discrete random variable taking on values , then we can write . Implementation of this formula to generate discrete random variables is actually quite straightforward and can be summarized as follows. To generate , Generate if , set . we defi…
题目链接:http://codeforces.com/gym/101466/problem/K 题目: 题意: 给你一棵有n个节点的树,根节点始终为0,有两种操作: 1.RAND:查询以u为根节点的子树上的所有节点的权值的乘积x,及x的因数个数. 2.SEED:将节点u的权值乘以x. 思路: 比赛时少看了因数不大于13这句话,然后本题难度增加数倍,肝了两个小时都没肝出来,对不起队友啊,今天的组队训练赛实力背锅…… 这题一眼线段树,由于是对一棵子树进行处理,因此我们采用常规套路,借助dfs序将子树…
http://acm.bnu.edu.cn/v3/problem_show.php?pid=52733 [题意] 给定一棵树,这棵树每个点都有一个点权,标号从0开始,0是根结点 修改操作: SEED 1 13 把结点1的点权乘上13 查询操作: RAND 1 查询结点1为根的子树所有结点权的总乘积,以及这个总乘积有多少个因子 题目保证结果的质因子最大为13 [思路] 质因子最大为13,那么我们可以枚举质因子2 3 5 7 11 13,共6个 只要我们知道子树乘积这六个质因子的个数,我们就能算出子…
http://www.onjava.com/pub/a/onjava/2001/05/30/optimization.htmlComparing the performance of LinkedLists and ArrayLists (and Vectors) (Page last updated May 2001, Added 2001-06-18, Author Jack Shirazi, Publisher OnJava). Tips: ArrayList is faster than…
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refer to: http://www.stealthcopter.com/blog/2009/09/python-calculating-pi-using-random-numbers/ During my undergraduate degree I wrote a program in fortran 95 to calculate pi using random numbers. My aim is to rewrite it efficiently in python. I know…
php的资料 https://github.com/ziadoz/awesome-php Awesome PHP A curated list of amazingly awesome PHP libraries, resources and shiny things. Awesome PHP Dependency Management Dependency Management Extras Frameworks Framework Extras Framework Components Mi…
开始JStorm学习之前需要搭建集群环境,这里演示搭建单机JStorm环境,仅供学习使用,生产环境部署大同小异,但建议参考JStorm社区及相关说明文档. 一.前提 JStorm核心代码均用Java实现,所以依赖Java Runtime,另外,JStorm有脚本采用Python实现,所以还需要Python的支持. 1.JAVA环境 2.Python环境 这里选择Java版本1.6.0_35及Python版本2.6.5,如果默认没有安装可以参考相关文档(www.java.com和www.pytho…
Github  上一些关于PHP的开源项目,总有你喜欢的那一款 Awesome PHP Package Management Package Management Related Frameworks Framework Components Micro Frameworks Content Management Systems Templating Static Site Generators HTTP URL Email Files Streams Dependency Injection…
w Network Working Group P. Leach Request for Comments: 4122 Microsoft Category: Standards Track M. Mealling Refactored Networks, LLC R. Salz DataPower Technology, Inc. July 2005 A Universally Unique IDentifier (UUID) URN Namespace Status of This Memo…
As an example of subclassing, the random module provides the WichmannHill class that implements an alternative generator in pure Python. The class provides a backward compatible way to reproduce results from earlier versions of Python, which used the…
rand(3) / random(3) / arc4random(3) / et al. Written by Mattt Thompson on August 12th, 2013 What passes for randomness is merely a hidden chain of causality. In a mechanical universe of material interactions expressed through mathematical equations,…
在机器学习中参数初始化需要进行随机生成,同时样本也需要随机生成,或者遵从一定规则随机生成,所以对随机生成的使用显得格外重要. 有的是生成随机数,有的是随机序列,有点是从随机序列中选择元素等等. 简单的随机数据 rand(d0, d1, ..., dn) 随机值 >>> np.random.rand(3,2) array([[ 0.14022471, 0.96360618], #random [ 0.37601032, 0.25528411], #random [ 0.49313049,…
随机抽样 (numpy.random) 简单的随机数据 rand(d0, d1, ..., dn) 随机值 >>> np.random.rand(3,2) array([[ 0.14022471, 0.96360618], #random [ 0.37601032, 0.25528411], #random [ 0.49313049, 0.94909878]]) #random randn(d0, d1, ..., dn) 返回一个样本,具有标准正态分布. Notes For rando…
UNDERSTANDING THE GAUSSIAN DISTRIBUTION Randomness is so present in our reality that we are used to take it for granted. Most of the phenomena which surround us have been generated by random processes. Hence, our brain is very good at recognise these…
随机抽样 (numpy.random) 简单的随机数据 rand(d0, d1, ..., dn) 随机值 >>> np.random.rand(3,2) array([[ 0.14022471, 0.96360618], #random [ 0.37601032, 0.25528411], #random [ 0.49313049, 0.94909878]]) #random randn(d0, d1, ..., dn) 返回一个样本,具有标准正态分布. Notes For rando…
随机抽样 (numpy.random) 简单的随机数据 rand(d0, d1, ..., dn) 随机值 >>> np.random.rand(3,2) array([[ 0.14022471, 0.96360618], #random [ 0.37601032, 0.25528411], #random [ 0.49313049, 0.94909878]]) #random randn(d0, d1, ..., dn) 返回一个样本,具有标准正态分布. Notes For rando…
Original #include <stdlib.h> #include <time.h> srand(time(NULL)); rand(); The versions of rand() and srand() in the Linux C Library use the same random number generator as random(3) and srandom(3), so the lower-order bits should be as random a…
Generate a random number between 5.0 and 7.5x1 <- runif(1, 5.0, 7.5) # 参数1表示产生一个随机数x2 <- runif(10, 5.0, 7.5)# 参数10表示产生10个随机数 Generate a random integer between 1 and 10x3 <- sample(1:10, 1)  # 参数1表示产生一个随机数x4 <- sample(1:10, 5, replace=T) # 参数5表…
This section describes the random number functions that are part of the ISO C standard. To use these facilities, you should include the header file `stdlib.h' in your program. Macro: int RAND_MAX The value of this macro is an integer constant represe…
 Pseudo-Random Numbers  Computers normally cannot generate really random numbers, but frequently are used to generate sequences of pseudo-random numbers. These are generated by some algorithm, but appear for all practical purposes to be really random…
Everybody knows about Gaussian distribution, and Gaussian is very popular in Bayesian world and even in our life. This article summaries typical operation of Gaussian, and something about Truncated Guassian distribution. pdf(probability density funct…