代码搜索：MXM
找到约 66 项符合「MXM」的源代码
代码结果 66
www.eeworm.com/read/489614/6466762
m lsmatvec.m
function [R,d]=lsmatvec(method,x,M,y)
% function [R,d]=lsmatvec(method,x,M,y)
% Computes the MxM normal equations matrix
% and the right-hand side vector of the LS NE
% method='prew','post','full'
www.eeworm.com/read/158100/11643630
m lsmatvec.m
function [R,d]=lsmatvec(method,x,M,y)
% function [R,d]=lsmatvec(method,x,M,y)
% Computes the MxM normal equations matrix
% and the right-hand side vector of the LS NE
% method='prew','post','full'
www.eeworm.com/read/155543/11864155
m lsmatvec.m
function [R,d]=lsmatvec(method,x,M,y)
% function [R,d]=lsmatvec(method,x,M,y)
% Computes the MxM normal equations matrix
% and the right-hand side vector of the LS NE
% method='prew','post','full'
www.eeworm.com/read/232058/14209459
m lsmatvec.m
function [R,d]=lsmatvec(method,x,M,y)
% function [R,d]=lsmatvec(method,x,M,y)
% Computes the MxM normal equations matrix
% and the right-hand side vector of the LS NE
% method='prew','post','full'
www.eeworm.com/read/378186/9243058
makeframe
#
# Makefile for Matrix multiplication test in the EuroBen Efficiency Benchmark.
#
OBJECTS = numerics.o gmxm.o check.o gendat.o mxm.o \
dgemm.o lsame.o xerbla.o
www.eeworm.com/read/240189/13231890
pro rebin_detector.pro
; $Id: rebin_detector.pro,v 1.2 2002/03/14 11:49:10 riccardi Exp $
;+
; REBIN_DETECTOR
;
; Result = REBIN_DETECTOR(Image, N)
;
; INPUT
; Image: immagine MxM da rebinnare
; N: dimensione del
www.eeworm.com/read/243093/12964846
m sqrtsim2dis.m
function D=sqrtsim2dis(S)
%function D=sqrtsim2dis(S);
%
%PURPOSE
%
%To transform elements of a similarity matrix S into
%dissimilarities D by D=sqrt(1-S)
%
%INPUT
%
%S (matrix) MxM similarity matrix w
www.eeworm.com/read/243093/12964889
m sim2dis.m
function D=sim2dis(S)
%function D=sim2dis(S);
%
%PURPOSE
%
%To transform elements of a similarity matrix S into
%dissimilarities D by D=1-S.
%
%INPUT
%
%S (matrix) MxM similarity matrix whose element
www.eeworm.com/read/431637/8664267
m jmat.m
function Jm=jmat(w1,w2,R,p,Jmin);
% Input arguments:
% w1 = vector with K values of w1 over time, dim 1xK
% w2 = vector with K values of w2 over time, dim 1xK
% R = autocorrelation matrix, dim MxM
www.eeworm.com/read/431635/8664331
m jmat.m
function Jm=jmat(w1,w2,R,p,Jmin);
% Input arguments:
% w1 = vector with K values of w1 over time, dim 1xK
% w2 = vector with K values of w2 over time, dim 1xK
% R = autocorrelation matrix, dim MxM