D_alogo_matlab

由于地球的上空有76颗依星，所以依星可以定位到地球的任意一个地方，该程序主要完成地理位置的定位(Because there are 76 above the Earth s Iridium, Iridium so you can navigate to any place of the Earth, which is mainly geographic location)

有N件物品和一个容量为V的背包。第i件物品的费用是c，价值是w。求解将哪些物品装入背包可使这些物品的费用总和不超过背包容量，且价值总和最大。(There are N items and a knapsack capacity of V' s. No. i is the cost of items c, the value of w. Solving items into the backpack which will enable the cost of these items does not exceed the sum of the capacity of backpack, and the sum of the maximum value.)

一个很实用的MATLAB实例教程，50个例子，欢迎下载，嘿嘿！！！！！！！！(A very practical example of the MATLAB tutorial, example 50 are welcome to download,嘿嘿! ! ! ! ! ! ! !)

基于c#的互相关函数计算，基于c#的互相关函数计算，基于c#的互相关函数计算，(Cross Correlation)

Get full domain name of windows workstation

LCS 问题 最大公共子序列LCS 问题 最大公共子序列LCS 问题 最大公共子序列(The biggest problem common subsequence LCS LCS LCS biggest problem common subsequence problem largest common subsequence)

这是学习编程很好的书籍，值得参考和学习哦，很实用，很详细(This is a very good book to learn programming, it is worth for reference and learning Oh, very practical, very detailed)

LIBSVM 是台湾大学林智仁 (Chih-Jen Lin) 博士等开发设计的一个操作简单、易于使用、快速有效的通用 SVM 软件包，可以解决分类问题（包括 C- SVC 、n - SVC ）、回归问题（包括 e - SVR 、 n - SVR ）以及分布估计（ one-class-SVM ）等问题，提供了线性、多项式、径向基和 S 形函数四种常用的核函数供选择，可以有效地解决多类问题、交叉验证选择参数、对不平衡样本加权、多类问题的概率估计等。(LIBSVM is林智仁Taiwan University (Chih-Jen Lin) Dr. develop design a simple, easy to use, fast and effective generic SVM software package, can solve the classification problems (including the C-SVC, n- SVC), regression ( including e- SVR, n- SVR) as well as the distribution of estimates (one-class-SVM) and so on, provides a linear, polynomial, radial basis function and the S-shaped kernel function of four commonly used for selection, can effectively to solve a wide range of issues, cross-validation to choose the parameters of the imbalance in the weighted sample, multi-category probability estimation.)

某电力厂家故障录波器源代码,很全,可编译通过(A power fault recorder source code, really)

function [ H ,S ] = HS( f ) UNTITLED2 Summary of this function goes here Detailed explanation goes here syms x1 x2 f1=diff(f,x1) f2=diff(f,x2) S= [f1 f2] H = [diff(f1,x1) diff(f1,x2) diff(f2,x1) diff(f2,x2)] end s0=subs(S,findsym(S),[0 0])(function [H, S] = HS (f) UNTITLED2 Summary of this function goes here Detailed explanation goes here syms x1 x2 f1 = diff (f, x1) f2 = diff (f, x2) S = [f1 f2] H = [diff (f1, x1) diff (f1, x2) diff (f2, x1) diff (f2, x2)] end s0 = subs (S, findsym (S), [0 0 ]))