代码搜索:协方差矩阵

找到约 10,000 项符合「协方差矩阵」的源代码

代码结果 10,000
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cs sample3_6.cs

/* * 示例程序Sample3_6: Matrix类的托伯利兹矩阵求逆的埃兰特方法 */ using System; using CSharpAlgorithm.Algorithm; namespace CSharpAlgorithm.Sample { class Class1 { [STAThread] static void Main(string
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cpp aes.cpp

// AES.cpp : Defines the entry point for the console application. #include "stdafx.h" #include #include #define Nb 4 //状态矩阵的字数(列数) #define Nk 4 //初始密钥的字数 #define Nr 10 /
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c gaussian.c

//Using Gaussian elimination method and Gaussian elimination method with row scaled method to solve the following tri-diagonal system // //for n=10 and 100. // //解决方案:由于使用高斯消去发的前提是,在运算过程中A矩阵的主对角
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m cholesky.m

function L=Cholesky(A) %对对称正定矩阵A进行Cholesky分解 n=length(A); L=zeros(n); for k=1:n delta=A(k,k); for j=1:k-1 delta=delta-L(k,j)^2; end if delta
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java shortpath.java

/** a //图的邻接矩阵 display //用来打印运算结果 path //存入v(i,j)和最短路径 v //记录最短路径的顶点信息 **/ public class Shortpath { public static int[] display = new int[10]; public static float[] p
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m inv.m

%求逆矩阵 %用法 B=inv(A) 其中A为数值或符号方阵,B返回A的逆 %例如 % inv([1 2;3 4]) %数值 % syms a b c d;inv([[a,b;c,d]) %符号 % %INV Matrix inverse. % INV(X) is the inverse of the square
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m rand.m

%R=rand(m,n) 生成(0,1)上均匀分布的m行n列随机矩阵 %RAND Uniformly distributed random numbers. % RAND(N) is an N-by-N matrix with random entries, chosen from % a uniform distribution on the interval (0.0,1.0
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m cmpmatrix.m

function flag=cmpmatrix(a,b) % cmpmatrix function % 用于确定两个矩阵维数是否相等的比较函数 % Copyright 2000-2001 ECUST. % $Revision: 1.1 $ $Date: 2002/02/11 21:58:12 $ if any(any(a~=b)), flag='matrix i
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m qstable.m

function s=qstable(a) % 确定系统矩阵a的稳定性 % Copyright 2000-2001 ECUST. % $Revision: 1.1 $ $Date: 2001/12/12 14:11:48 $ system_root=eig(a),i=find(real(system_root)>0); if ~isempty(i),s='system u
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txt 5.22.txt

Status AddTSM(TSMatrix &A,TSMatrix B) /* 将三元组矩阵B加到A上: A=A+B */ { int pa,pb,pc; int i,j,x,sum; if(A.mu!=B.mu||A.nu!=B.nu) return ERROR; if(A.tu==0) {