代码搜索：Matrices
找到约 3,616 项符合「Matrices」的源代码
代码结果 3,616
www.eeworm.com/read/158297/11626984
m golay.m
% This file contains the golay matrices used in chapter 16:
golay=[1,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,1,1,1,0,0,0,1, ...
0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,1,1,0,1,1,1,0,0,0,1, ...
0,0,1,0,0,0,0,
www.eeworm.com/read/346867/11715242
plg simpleshapemanipulation.plg
Build Log
--------------------Configuration: SimpleShapeManipulation - Win32 Release--------------------
Command Lines
Creating temporary file
www.eeworm.com/read/346862/11716518
plg simpleshapemanipulation.plg
Build Log
--------------------Configuration: SimpleShapeManipulation - Win32 Release--------------------
Command Lines
Creating temporary file
www.eeworm.com/read/259580/11780915
cpp makematrixdata.cpp
#include
using namespace std;
int main()
{
int n = 500; // matrix size
// initialize the matrices a and b
cout
www.eeworm.com/read/343489/11944537
m init4acdc.m
function A0=init4acdc(M,wix)
%this function finds an initial guess for
%the acdc algorithm by performing
%pre-whitening on one of the target
%matrices, and then finding the orthogonal
%diagonaliz
www.eeworm.com/read/342008/12047261
m meancov.m
%MEANCOV Means and covariance estimation from multiclass data
%
% [U,G] = meancov(A)
%
% Computation of a set of mean vectors U and a set of covariance
% matrices G of the classes in the dataset A
www.eeworm.com/read/341201/12103651
m arres.m
function [siglev,res]=arres(w,A,v,k)
%ARRES Test of residuals of fitted AR model.
%
% [siglev,res]=ARRES(w,A,v) computes the time series of residuals
%
% res(k,:)' = v(k+p,:)'- w - A1*v(k+p
www.eeworm.com/read/152289/12124115
m mean.m
function y=mean(x)
%MEAN Average or mean value
%for vectors,MEAN(x) is themean value of X
%for matrices, MEAN(X)is a row vector
[m,n]=size(x);
if m==1
m=n
end
y=sum(x)/n
www.eeworm.com/read/150214/12304800
mod2convert-test-out
Creating sparse matrix.
Converting from sparse to dense.
Converting back to dense again.
Testing for equality of two sparse matrices: OK.
Converting to dense once again.
Testing for equality of two d