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/328078/13047156
m contents.m
% Discriminant analysis toolbox.
% Version 0.3 99/04/30
% Copyright (C) 1999 Michael Kiefte.
% See the accompanying README file for information.
%
% Discriminant Analysis.
% lda - Linear discri
www.eeworm.com/read/140665/13068252
cpp xqrupdt.cpp
#include
#include
#include
#include
#include "nr.h"
using namespace std;
// Driver for routine qrupdt
int main(void)
{
bool sing;
www.eeworm.com/read/140665/13068619
cpp xludcmp.cpp
#include
#include
#include
#include
#include "nr.h"
using namespace std;
// Driver for routine ludcmp
int main(void)
{
int j,k,l,m,n,dum;
www.eeworm.com/read/140665/13068668
cpp xqrdcmp.cpp
#include
#include
#include
#include
#include "nr.h"
using namespace std;
// Driver for routine qrdcmp
int main(void)
{
bool sing;
www.eeworm.com/read/326313/13148460
m range.m
function Q = range(A)
% RANGE -- find range of a matrix
%
% Q = range(A)
%
% This does essentially the same thing as the Matlab system
% routine ORTH, except it uses the tolerance parameter
www.eeworm.com/read/326313/13148495
m norm.m
function n = norm(S,varargin)
% NORM -- norm function for symbolic variables
%
% n = norm(x,type)
%
% This is the same as the usual NORM function, but for vectors
% or matrices of symbolic con
www.eeworm.com/read/138987/13197172
m runpf.m
function [MVAbase, bus, gen, branch, success, et] = runpf(casename, mpopt, fname, solvedcase)
%RUNPF Runs a power flow.
%
% [baseMVA, bus, gen, branch, success, et] = ...
% runpf(casename
www.eeworm.com/read/138860/13207120
m pprec.m
function x = pprec(p0, p1, type)
% PPREC Parallelogram Polyphase Reconstruction
%
% x = pprec(p0, p1, type)
%
% Input:
% p0, p1: two parallelogram polyphase components of the image
% type: o
www.eeworm.com/read/138860/13207176
m pup.m
function y = pup(x, type, phase)
% PUP Parallelogram Upsampling
%
% y = pup(x, type, [phase])
%
% Input:
% x: input image
% type: one of {1, 2, 3, 4} for selecting sampling matrices:
% P1
www.eeworm.com/read/239305/13289184
m sobi.m
function [H,S,D]=sobi(X,n,p),
% program by A. Belouchrani and A. Cichocki
%
% Second
% Order
% Blind
% Identification
% SOBI
%**************************************************
% blind iden