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/339677/12210568
m tridiag.m
function X = tridiag( A, B )
% Input - A is an N*N nosingular tridiagonal matrix
% - B is an N*1 matrix
% Ouput - X is an N*1 matrix:the solution of AX = B
N = length(B);
X = zeros(N,1);
b(1) =
www.eeworm.com/read/150905/12249128
m nbayesc.m
%NBAYESC Bayes Classifier for given normal densities
%
% W = NBAYESC(U,G)
%
% INPUT
% U Dataset of means of classes
% G Covariance matrices (optional; default: identity matrices)
%
% OUTP
www.eeworm.com/read/150905/12249659
m kcentres.m
%KCENTRES Finds K center objects from a distance matrix
%
% [LAB,J,DM] = KCENTRES(D,K,N,FID)
%
% INPUT
% D Distance matrix between, e.g. M objects (may be a dataset)
% K Number of center
www.eeworm.com/read/150905/12250006
htm mlphdotv.htm
Netlab Reference Manual mlphdotv
mlphdotv
Purpose
Evaluate the product of the data Hessian with a vector.
Synopsis
www.eeworm.com/read/150749/12267161
m latentlssvm.m
function [zt,model] = latentlssvm(varargin)
% Calculate the latent variables of the LS-SVM classifier at the given test data
%
% >> Zt = latentlssvm({X,Y,'classifier',gam,sig2,kernel}, {alpha,b}, Xt)
www.eeworm.com/read/150749/12267300
m latentlssvm.m
function [zt,model] = latentlssvm(varargin)
% Calculate the latent variables of the LS-SVM classifier at the given test data
%
% >> Zt = latentlssvm({X,Y,'classifier',gam,sig2,kernel}, {alpha,b}, Xt)
www.eeworm.com/read/150226/12303902
m anal1.m
function [E,Nc,mCe,mC,T] = anal1(M,D,st,s);
%
% Ph.D. Thesis
% Copyright by Leandro Nunes de Castro
% March, 2000
% Immune Network (iNet) - Description in iNet.doc
% Function determines the Mi
www.eeworm.com/read/150226/12303943
m anal3.m
function [E,Nc,mC,T] = anal3(M,D,st,s);
%
% Ph.D. Thesis
% Copyright by Leandro Nunes de Castro
% March, 2000
% Immune Network (iNet) - Description in iNet.doc
% Function determines the Minima
www.eeworm.com/read/150226/12303972
m analysis.m
function [E,bE,Nc,mCe,mC,T,U] = analysis(M,D,st,s);
%
% Ph.D. Thesis
% Copyright by Leandro Nunes de Castro
% March, 2000
% Immune Network (iNet) - Description in iNet.doc
% Function determine
www.eeworm.com/read/150214/12304694
html sparse-lu.html
Sparse LU Decomposition Methods
Sparse LU Decomposition Methods
The sparse modulo-2 matrix LU decomposition routine