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/153823/12004148

m contents.m

% Logistics Engineering Toolbox. % Matlog Version 9 16-Jan-2006 (http://www.ie.ncsu.edu/kay/matlog) % % Location: % ala - Alternate location-allocation procedure % alaplot - Plo
www.eeworm.com/read/255925/12046118

m ssa.m

function [pc,s,v]=SSA(x,dim,tau) %Syntax: [pc,s,v]=SSA(x,dim,tau) %_______________________________ % % Singular Spectrum Analysis for a time series. % % pc is the matrix with the principal compo
www.eeworm.com/read/342008/12047263

m mds.m

% MDS Non-linear mapping by multi-dimensional scaling (Sammon) % % [W,E] = MDS (D,k,Q,INIT,INSPECT) % % Calculates a non-linear mapping W of a distance matrix D to k dimensions. % A stress measure
www.eeworm.com/read/255755/12057883

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/255755/12058276

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/341201/12103666

m armode.m

function [S, Serr, per, tau, exctn, lambda] = armode(A, C, th) %ARMODE Eigendecomposition of AR model. % % [S,Serr,per,tau,exctn]=ARMODE(A,C,th) computes the % eigendecomposition of an AR(p) model t
www.eeworm.com/read/152112/12139156

m uptrbk.m

function X = uptrbk(A,B) %Input - A is an N x N nonsingular matrix % - B is an N x 1 matrix %Output - X is an N x 1 matrix containing the solution to AX=B. % NUMERICAL METHODS: Matlab Program
www.eeworm.com/read/152112/12139165

m lufact.m

function X = lufact(A,B) %Input - A is an N x N matrix % - B is an N x 1 matrix %Output - X is an N x 1 matrix containing the solution to AX = B. % NUMERICAL METHODS: Matlab Programs % (c) 200
www.eeworm.com/read/253950/12173784

htm mlphdotv.htm

Netlab Reference Manual mlphdotv mlphdotv Purpose Evaluate the product of the data Hessian with a vector. Synopsis
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m isinteger.m

function output = isinteger(a) % function output = isinteger(a) % This function returns 1 if a is an integer and 0 if it is not. % If a is complex and 1 is returned, % this means that both the r