代码搜索：Matrix
找到约 10,000 项符合「Matrix」的源代码
代码结果 10,000
www.eeworm.com/read/162188/10328447
src median.src
/*
** median.src - medians of columns of a matrix
** (C) Copyright 1988-1998 by Aptech Systems, Inc.
** All Rights Reserved.
**
** This Software Product is PROPRIETARY SOURCE CODE OF APTECH
** S
www.eeworm.com/read/162075/10341941
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/354578/10344858
m appcoars.m
function [m,Fc,Fa,C,N,N0]=appcoars(m,F,K,version);
% Copyright Thierry Denoeux
% April 4, 2002
%
% Inner and outer coarsening approximation of a single basic belief assignment
%
% [m,Fc,Fa
www.eeworm.com/read/425546/10348994
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
% stru
www.eeworm.com/read/425546/10349180
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 struct
www.eeworm.com/read/161855/10360990
risk toy.risk
categories {
one, two, three
}
prior {
2, 1, 1
}
loss_matrix {
"" one [ 0, 1, 2 ]
"" two [ 3, 0, 5 ]
"" three [ 1, 1, 0 ]
}
www.eeworm.com/read/161829/10367170
m demo.m
% This code is just a front-end to source separation algorithms.
% Purpose:
% 1) generate synthetic data
% 2) call some source separation algorithm
% 3) display the results
% The data are CM (constant
www.eeworm.com/read/161731/10382382
h tmatrix.h
/* Ant-based Clustering
Copyright (C) 2004 Julia Handl
Email: Julia.Handl@gmx.de
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU Ge
www.eeworm.com/read/161587/10394769
out allpairs.out
Enter number of edges of 5 vertex weighted digraph
enter edge 1
enter edge 2
enter edge 3
enter edge 4
enter edge 5
enter edge 6
enter edge 7
The weighted digraph is
0 4 2 0 8
0 0 0 4 5
0
www.eeworm.com/read/161587/10395076
cpp smatrix.cpp
// test formula based sparse matrix class
#include
#include "smatrix.h"
void main(void)
{
SparseMatrix A(20), B(20), C(20);
cin >> A;
cout