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fmeca.net have been moved to http://yoyo-balance.buaa.edu.cn/

天大地大妈咪最大 提交于 2019-12-06 03:37:55
http://fmeca.net have moved to http://yoyo-balance.buaa.edu.cn/ which is located inside the university of Beihang University, Beijing City. Because the servery of the university do not support domain forwarding, Please visit the new site by click the URL: http://yoyo-balance.buaa.edu.cn 来源: CSDN 作者: keep_thinking 链接: https://blog.csdn.net/keep_thinking/article/details/11807425

【AngularJs学习笔记二】Yeoman自动构建js项目

北城以北 提交于 2019-12-05 18:08:54
#0 系列目录# AngularJs学习笔记 【AngularJs学习笔记一】bower解决js的依赖管理 【AngularJs学习笔记二】Yeoman自动构建js项目 #1 Yeoman介绍# Yeoman是Google的团队和外部贡献者团队合作开发的, 他的目标是通过Grunt(一个用于开发任务自动化的命令行工具)和Bower(一个HTML、CSS、Javascript和图片等前端资源的包管理器)的包装为开发者创建一个易用的工作流 。 Yeoman主要有三部分组成:yo(脚手架工具)、grunt(构建工具)、bower(包管理器) 。这三个工具是分别独立开发的,但是需要配合使用,来实现我们高效的工作流模式。 #2 Yeoman工具包yo命令# yo插件都是通过npm, Node.js包管理器安装和管理的. 全局安装yo ~ D:\workspace\javascript>npm install -g yo 如果你还没有安装grunt,bower,也需要一起安装 ~ D:\workspace\javascript>npm install -g grunt-cli bower 通过help查看帮助 ~ D:\workspace\javascript>yo --help Yeoman is a mask worn by the following members of the

UVa 10900 (连续概率、递推) So you want to be a 2n-aire?

↘锁芯ラ 提交于 2019-12-04 13:56:45
题意: 初始奖金为1块钱,有n个问题,连续回答对i个问题后,奖金变为2 i 元。 回答对每道题的概率在t~1之间均匀分布。 听到问题后有两个选择: 放弃回答,拿走已得到的奖金 回答问题: 如果回答正确,奖金加倍 如果回答错误,游戏结束,得不到奖金 分析: d[i]表示答对i题后最大期望奖金,设回答对第i题的概率为p, 则回答第i题的期望奖金 = p × d[i] 考虑上不回答的情况,期望奖金最大值为max{2 i-1 , p*d[i]} 因为p在t~1均匀分布,所以d[i]等于分段函数max{2 i-1 , p*d[i]}在这个区间上的积分。 因为一段是常函数,一段是直线,所以积分很好求。 令p0 = max{t, 2 i /d[i+1]} p < p0,选择不回答,奖金期望为2 i p ≥ p0,选择回答,奖金期望为(1+p0)/2 * d[i+1] 根据全概率公式,第一种情况的概率为p1 = (p0 - t) / (1 - t) d[i] = p1*2 i + (1-p1)*(1+p0)/2 * d[i+1] 边界d[n] = 2 n ,答案为d[0] 1 #include <cstdio> 2 #include <algorithm> 3 using namespace std; 4 5 const int maxn = 35 ; 6 double d[maxn]; 7 8

Installing Yeoman - “Yo command not found”

匿名 (未验证) 提交于 2019-12-03 10:09:14
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I have installed node.js and set up npm on my Yosemite install using the npm-g_nosudo script. When I then run npm install -g yo I see a bunch of content scroll through my terminal window, with no errors, and it completes. I then type yo and OS X tells me that it can't find the command. I also tried using source .bash_profile and rebooting. The command is still not found. Am I doing something wrong? This is my .bash_profile # Add environment variable COCOS_CONSOLE_ROOT for cocos2d-x export COCOS_CONSOLE_ROOT=/Users/Sully/Development/Libraries

Yeoman can't recognize a generator that was installed globally

匿名 (未验证) 提交于 2019-12-03 08:33:39
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: I ran sudo npm install -g generator-flask and it was saved. I was able to confirm by running npm list-g . I then run yo flask . Thinking that this was going to work, I instead get an error message: Error flask You don 't seem to have a generator with the name flask installed. You can see available generators with npm search yeoman-generator and then install them with npm install [name]. To see the 22 registered generators run yo with the `--help` option. I do as it tells me by running yo --help and discover that the flask generator

What is an adjacency list and how do you code one?

匿名 (未验证) 提交于 2019-12-03 03:03:02
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: Here is an SO post of an adjacency list. However I see no difference from a single-linked list? Also here is a wikipedia article which says that it is all the edges (of a graph, discrete math type) in a list which is pretty broad, if I have a graph, which is not a path graph. How do I code an adjacency list? 回答1: A simple example: Suppose you have a vertex type Vertex . They your graph consists of a set of vertices, which you can implement as: std::unordered_set<Vertex> vertices; Now for every pair of vertices between which there is an edge

Facebook Open Graph og:video tag for YouTube videos

匿名 (未验证) 提交于 2019-12-03 02:30:02
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: I have a question that was initially asked here: Open graph og:video Meta Tags content in 2010, but the answer no longer works. I'm trying to show a YouTube video in Facebook (and have it play inside Facebook) when a link is shared. The following og:video tag on the page doesn't work (it never really did): <meta property = "og:video" content = "https://www.youtube.com/watch?v=ZH4YSF-i5dY" /> The solution proposed here https://stackoverflow.com/a/17811187/188740 in 2013 worked really well until recently. It was to change the og

what speed up “setInterval” when you switch page?

匿名 (未验证) 提交于 2019-12-03 02:29:01
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: Here is My page,It is a demo to test moving a element,but after you change your page sometime,and back to here,why the DIV move faster? My css: #box1 { width: 900px; height: 50px; background-color: #000; position: relative; } #box2 { width: 50px; height: 50px; background-color: #a00; position: absolute; } My HTML: <div id="box1"> <div id="box2"></div> </div> My Js: var box2 = document.getElementById("box2"); var remove = setInterval(function () { box2.style.left = "0px"; var move = setInterval(function () { var newLeft = Math.min(parseInt

Please install libyaml and reinstall your ruby

匿名 (未验证) 提交于 2019-12-03 02:20:02
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: libyaml warning doesn't go away, even if you install libyaml gem install bundler /home/ec2-user/.rvm/rubies/ruby-1.9.3-p392/lib/ruby/1.9.1/yaml.rb:56:in `<top (required)>': It seems your ruby installation is missing psych (for YAML output). To eliminate this warning, please install libyaml and reinstall your ruby. Fetching: bundler-1.3.4.gem (100%) Successfully installed bundler-1.3.4 回答1: First remove any previous docs of yaml by cd .rvm/src sudo rm -rf yaml* Then you can do rest of the install by - rvm pkg install libyaml P.S You will need

Fitting a 2D Gaussian function using scipy.optimize.curve_fit - ValueError and minpack.error

匿名 (未验证) 提交于 2019-12-03 02:13:02
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I intend to fit a 2D Gaussian function to images showing a laser beam to get its parameters like FWHM and position. So far I tried to understand how to define a 2D Gaussian function in Python and how to pass x and y variables to it. I've written a little script which defines that function, plots it, adds some noise to it and then tries to fit it using curve_fit . Everything seems to work except the last step in which I try to fit my model function to the noisy data. Here is my code: import scipy.optimize as opt import numpy as np import