代码搜索：Matrix
找到约 10,000 项符合「Matrix」的源代码
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www.eeworm.com/read/178382/9401309
cs choleskydecomposition.cs
// ----------------------------------------------
// Lutz Roeder's Mapack for .NET, September 2000
// Adapted from Mapack for COM and Jama routines.
// http://www.aisto.com/roeder/dotnet
// ------
www.eeworm.com/read/178142/9417625
m ssq.m
function t = ssq(a)
%SSQ SSQ(A) is the sum of squares of the elements of matrix A.
t = sum(sum(a.^2));
www.eeworm.com/read/178061/9420893
m ntimes.m
function product = ntimes(X,Y,modeX,modeY);
%NTIMES Array multiplication
%
% X*Y is the array/matrix product of X and Y. These are multiplied across the
% modeX mode/dimension of X and modeY
www.eeworm.com/read/374010/9423747
m dscale.m
function [X,Xscale]=dscale(X)
% DSCALE
% ------
% [X,Xscale]=dscale(X) scales data to zero mean and variance 1.
%
% INPUTS:
% X - Data matrix
% (dimension is # o
www.eeworm.com/read/177674/9442387
m conffig.m
function fh=conffig(y, t)
%CONFFIG Display a confusion matrix.
%
% Description
% CONFFIG(Y, T) displays the confusion matrix and classification
% performance for the predictions mat{y} compared with
www.eeworm.com/read/177674/9442410
m netgrad.m
function g = netgrad(w, net, x, t)
%NETGRAD Evaluate network error gradient for generic optimizers
%
% Description
%
% G = NETGRAD(W, NET, X, T) takes a weight vector W and a network data
% structure
www.eeworm.com/read/177674/9442621
m mlphess.m
function [h, hdata] = mlphess(net, x, t, hdata)
%MLPHESS Evaluate the Hessian matrix for a multi-layer perceptron network.
%
% Description
% H = MLPHESS(NET, X, T) takes an MLP network data structure
www.eeworm.com/read/373388/9457849
m eigvctomask.m
function M = eigvcToMask(vc,rM)
%vc2blkM Reshaping a matrix vc of rc by 1 vectors into a block-matrix
% M of rM by cM size
%
% Each rc-element column of vc is converted into a r by
www.eeworm.com/read/177311/9459650
cpp mymatrix.cpp
#include "MyMatrix.h"
#include
MyMatrix::MyMatrix(double matrix[][MAXSIZE]/* =NULL */,
int row/* =MAXSIZE */,int col/* =MAXSIZE */){
this->col=col;
this->row=row;
if(matrix