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/255755/12057987
m prex_cost.m
%PREX_COST PRTools example on cost matrices and rejection
%
% Prtools example code to show the use of cost matrices and how
% to introduce a reject class.
help prex_cost
echo on
% Gen
www.eeworm.com/read/150905/12249308
m prex_cost.m
%PREX_COST PRTools example on cost matrices and rejection
%
% Prtools example code to show the use of cost matrices and how
% to introduce a reject class.
help prex_cost
echo on
% Gen
www.eeworm.com/read/149739/12353583
m prex_cost.m
%PREX_COST PRTools example on cost matrices and rejection
%
% Prtools example code to show the use of cost matrices and how
% to introduce a reject class.
help prex_cost
echo on
% Gen
www.eeworm.com/read/454971/7380783
c ndchol.c
/*
Compute Cholesky factor for ND slice covariance matrices
Usage
-----
R = ndchol(S)
Inputs
-------
S ND slice covariance matrices (d x d x n1 x ... x np)
www.eeworm.com/read/303463/3810172
m mpt_reduce.m
function [Matrices,infeasible] = mpt_reduce(Matrices)
% Projects the whole mp(Q)LP problem on Aeq*U + Beq*x = beq
% differs from mpt_project_on_equality in the sense that it
% separates the intege
www.eeworm.com/read/299984/7140536
m prex_cost.m
%PREX_COST PRTools example on cost matrices and rejection
%
% Prtools example code to show the use of cost matrices and how
% to introduce a reject class.
help prex_cost
ff = prprogress;
prprogress o
www.eeworm.com/read/460435/7251012
m prex_cost.m
%PREX_COST PRTools example on cost matrices and rejection
%
% Prtools example code to show the use of cost matrices and how
% to introduce a reject class.
help prex_cost
ff = prprogress;
prprogress o
www.eeworm.com/read/450064/7491127
m corrdn.m
% RES = corrDn(IM, FILT, EDGES, STEP, START, STOP)
%
% Compute correlation of matrices IM with FILT, followed by
% downsampling. These arguments should be 1D or 2D matrices, and IM
% must be larger (
www.eeworm.com/read/331444/12827833
m corrdn.m
% RES = corrDn(IM, FILT, EDGES, STEP, START, STOP)
%
% Compute correlation of matrices IM with FILT, followed by
% downsampling. These arguments should be 1D or 2D matrices, and IM
% must be larger (
www.eeworm.com/read/322425/13380486
m corrdn.m
% RES = corrDn(IM, FILT, EDGES, STEP, START, STOP)
%
% Compute correlation of matrices IM with FILT, followed by
% downsampling. These arguments should be 1D or 2D matrices, and IM
% must be larg