代码搜索:Matrices

找到约 3,616 项符合「Matrices」的源代码

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cpp xqrupdt.cpp

#include #include #include #include #include "nr.h" using namespace std; // Driver for routine qrupdt int main(void) { bool sing;
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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;
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cpp xqrdcmp.cpp

#include #include #include #include #include "nr.h" using namespace std; // Driver for routine qrdcmp int main(void) { bool sing;
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m pprec.m

function x = pprec(p0, p1, type) % PPREC Parallelogram Polyphase Reconstruction平行四边形多相重建 % % x = pprec(p0, p1, type) % % Input: % p0, p1: two parallelogram polyphase components of the image
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m pup.m

function y = pup(x, type, phase) % PUP Parallelogram Upsampling平行四边形上采样 % % y = pup(x, type, [phase]) % % Input: % x: input image % type: one of {1, 2, 3, 4} for selecting sampling matrices:
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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
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m fastcontour.m

function[h]=fastcontour(varargin) %FASTCONTOUR Lightning-fast "fake" contouring for large matrices. % % FASTCONTOUR(X,Y,Z,C) contours matrix Z at levels C, where X and Y % are the horizontal (row
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m jinterp.m

function[yi]=jinterp(x,y,xi,str) %JINTERP Matrix-matrix 1-D interpolation. % % YI=JINTERP(X,Y,XI), returns the linear interpolation of Y onto XI % based on the functional relationship Y(X).
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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
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m vgg_line3d_from_lp_lin.m

% vgg_line3d_linear Linear estimation of 3d line from image lines and camera matrices. % % SYNOPSIS % L = vgg_line3d_from_lP_lin(s,P [,imsize]), where % % s ... cell(K) of double(3,3), inv. cova