代码搜索:Matrix
找到约 10,000 项符合「Matrix」的源代码
代码结果 10,000
www.eeworm.com/read/167185/5462141
c genburg.c
/*
The generalized Burg technique
Programmed by Daniel L. Wenger
408-425-5790 Santa Cruz, California
See:
"Estimation of Structured Covariance Matrices", J.P.Burg, D.G.Luenberger,
D.L.Wenger; Procee
www.eeworm.com/read/167185/5462247
c mchgenbg.c
/*
This material contains proprietary software of Entropic Processing, Inc.
Any reproduction, distribution, or publication without the the prior
written permission of Entropic Processing, Inc
www.eeworm.com/read/165570/5481211
txt expectedoutputtimingarray.txt
Enter the height of the matrix: 3
Enter the width of the matrix: 3
The array is
Row 1: 0 10 20
Row 2: 1 11 21
Row 3: 2 12 22
Item (1,1) is 11
The special sum is 23
The different sum is 5
www.eeworm.com/read/162342/5548331
java pdfshadingpattern.java
/*
* Copyright 2002 Paulo Soares
*
* The contents of this file are subject to the Mozilla Public License Version 1.1
* (the "License"); you may not use this file except in compliance with the Lice
www.eeworm.com/read/154509/5636896
txt 算法 1.1.txt
算法 1.1
void Mult_matrix( int c[][], int a[][], int b[][] )
{
// a、b和c均为n阶方阵,且c是a和b的乘积
for (i=1; i
www.eeworm.com/read/154509/5637136
txt 算法 1.1.txt
算法 1.1
void Mult_matrix( int c[][], int a[][], int b[][] )
{
// a、b和c均为n阶方阵,且c是a和b的乘积
for (i=1; i
www.eeworm.com/read/476058/6773081
m myhilb.m
function[A,B]=myhilb(n,m)
% MYHILB 生成一个Hilbert矩阵
% [A,B]=myhilb(n,m)
% where
% n,m are size of the Hilbert matrix,if only one
% argument given,then a square matrix is generated
% A is the Hil
www.eeworm.com/read/476058/6773087
m myhilb1.m
function[A,B]=myhilb(n,m)
%问题:生成一个Hilbert矩阵,该矩阵是一个n×m矩阵,它的第i行
%第j列的元素为1/(i+j-1)。如果想在编写的函数中实现下面几点:
%1)如果只给出一个输入参数,则会自动生成一个方阵,即有m=n
%2)如果想返回两个参数A和B,则返回的B矩阵为A矩阵的平方,
% 即B=A'A
%3)在函数中给出合适的帮助信息,包括基本 ...
www.eeworm.com/read/476090/6773469
m polyfit.m
function [p,S,mu] = polyfit(x,y,n)
% POLYFIT Fit polynomial to data.
% POLYFIT(X,Y,N) finds the coefficients of a polynomial P(X) of
% degree N that fits the data, P(X(I))~=Y(I), in a least-s
www.eeworm.com/read/476090/6773471
m polyfit.m
function [p,S,mu] = polyfit(x,y,n)
%POLYFIT Fit polynomial to data. in private
% POLYFIT(X,Y,N) finds the coefficients of a polynomial P(X) of
% degree N that fits the data, P(X(I))~=Y(I), in a