代码搜索:Matrix

找到约 10,000 项符合「Matrix」的源代码

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c 逆矩阵.c

#define N 5 /*[注]:修改6为你所要的矩阵阶数*/ #include "stdio.h" #include "conio.h" /*js()函数用于计算行列式,通过递归算法实现*/ int js(s,n) int s[][N],n; {int z,j,k,r,total=0; int b[N][N];/*b[N][N]用于存放,在矩阵s[
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inl linearequation.inl

//LinearEquation.inl 线性方程(组)求解函数(方法)定义 // Ver 1.0.0.0 // 版权所有(C) 何渝, 2002 // 最后修改: 2002.5.31 #ifndef _LINEAREQUATION_INL #define _LINEAREQUATION_INL //全选主元高斯消去法 template int L
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inl linearequation.inl

//LinearEquation.inl 线性方程(组)求解函数(方法)定义 // Ver 1.0.0.0 // 版权所有(C) 何渝, 2002 // 最后修改: 2002.5.31 #ifndef _LINEAREQUATION_INL #define _LINEAREQUATION_INL //全选主元高斯消去法 template int L
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m pearson_score.m

function [phi, phi2]=pearson_score(x,b); %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % PEARSON_SCORE - Calculates the score function and its derivative % for a dis
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m mvnpdf.m

function y = mvnpdf(X, Mu, Sigma) %MVNPDF Multivariate normal probability density function (pdf). % Y = MVNPDF(X) returns the n-by-1 vector Y, containing the probability % density of the multiv
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m polyfit.m

function [p,S] = polyfit(x,y,n) %p=polyfit(x,y,k)用k次多项式拟合向量数据(x,y) %p返回多项式的降幂系数.当k>=n-1时,polyfit实现多项式插值. %例如 用二次多项式拟合数据 % x | 0.1 0.2 0.15 0.0 -0.2 0.3 % --|-----------------------------
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m rbc_eng.m

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % % The baseline RBC model % %
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html intmatrix.html

Class IntMatrix
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cpp 高斯赛德尔迭代算法.cpp

/******************************************* * Class Matrix * *******************************************/ #include #include #include
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m nfam.m

function [nf, na, ex, E, N] = nfam(data,dt) % The function NFAM calculates the modified Hilbert frequency and amplitude % of data(n,k), where n specifies the length of time series, and % k is