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/123833/14611616
m mean.m
function y = mean(x,dim) %函数定义行，注意函数名称必须与文件名称相同
%MEAN Average or mean value.——H1帮助行
% For vectors, MEAN(X) is the mean value of the elements in X. For
% matrices, MEAN(X) is a row vector con
www.eeworm.com/read/223007/14664892
c matmult.c
/*
** Multiply two matrices together.
*/
void
matrix_multiply( int *m1, int *m2, register int *r,
int x, int y, int z )
{
register int *m1p;
register int *m2p;
register int k;
int
www.eeworm.com/read/122468/14688214
m mean.m
function y = mean(x,dim) %函数定义行，注意函数名称必须与文件名称相同
%MEAN Average or mean value.——H1帮助行
% For vectors, MEAN(X) is the mean value of the elements in X. For
% matrices, MEAN(X) is a row vector con
www.eeworm.com/read/220803/14788509
m mean.m
function y = mean(x,dim) %函数定义行，注意函数名称必须与文件名称相同
%MEAN Average or mean value.——H1帮助行
% For vectors, MEAN(X) is the mean value of the elements in X. For
% matrices, MEAN(X) is a row vector con
www.eeworm.com/read/220289/14843955
m mlpunpack.m
function [W1, B1, W2, B2, W3, B3, W4, B4] = mlpunpack(nodes, wh)
% MLPUNPACK ReBEL MLP neural network weight matrices de-vectorizer.
%
% This function unpacks the parameters (weights and biases) of
www.eeworm.com/read/218840/14904632
m cum2x.m
function y_cum = cum2x (x,y, maxlag, nsamp, overlap, flag)
%CUM2X Cross-covariance
% y_cum = cum2x (x,y,maxlag, samp_seg, overlap, flag)
% x,y - data vectors/matrices with identical dimensi
www.eeworm.com/read/216698/14997401
m cum2x.m
function y_cum = cum2x (x,y, maxlag, nsamp, overlap, flag)
%CUM2X Cross-covariance
% y_cum = cum2x (x,y,maxlag, samp_seg, overlap, flag)
% x,y - data vectors/matrices with identical dimensi
www.eeworm.com/read/212794/15149155
m vtb7_5.m
function [freqout,recep,mobil,inert]=vtb7_5(M,D,K,numin,numout,freq)
%VTB7_5 Transfer Function from second order system matrices.
% [Freq,Recep,Mobil,Inert] = VTB7_5(M,D,K,NUMIN,NUMOUT,Freq)
% return
www.eeworm.com/read/206661/15292463
m cum2x.m
function y_cum = cum2x (x,y, maxlag, nsamp, overlap, flag)
%CUM2X Cross-covariance
% y_cum = cum2x (x,y,maxlag, samp_seg, overlap, flag)
% x,y - data vectors/matrices with identical dimensi
www.eeworm.com/read/483729/1275303
svn-base matrix3d.as.svn-base
package org.papervision3d.core.math
{
import org.papervision3d.Papervision3D;
/**
* The Matrix3D class lets you create and manipulate 4x3 3D transformation matrices.
*/
public class Matrix3D