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/271217/11002742
plg simpleshapemanipulation.plg
Build Log
--------------------Configuration: SimpleShapeManipulation - Win32 Release--------------------
Command Lines
Creating temporary file
www.eeworm.com/read/143425/6930477
m arres.m
function [siglev,res]=arres(w,A,v,k)
%ARRES Test of residuals of fitted AR model.
%
% [siglev,res]=ARRES(w,A,v) computes the time series of residuals
%
% res(k,:)' = v(k+p,:)'- w - A1*v(k+p
www.eeworm.com/read/468565/6993143
m matrixexpand.m
% Andrew Puryear
% 362 Project - matrixexpand
% Matlab filed used to create matrices for mesh plots.
function [ outp ] = matrixexpand( matrix, factor )
for i=0:size(matrix,1)-1
for j=0:size(ma
www.eeworm.com/read/460712/7105688
m mulnd.m
function [Pnum,Pden]=mulnd(P1n,P1d,P2n,P2d,typ)
% MULND Multiplication of two numerator and denominator matrices.
% MULND(P1N,P1D,P2N,P2D) produces the correlated multiplication of P1N,P1D,
%
www.eeworm.com/read/449504/7502553
m contents.m
% Utility function library -- Jim LeSage
%
%
% accumulate : accumulates column elements of a matrix x
% blockdiag : Construct a block-diagonal matrix with the inputs on the diagonals.
www.eeworm.com/read/439271/7713218
m mulnd.m
function [Pnum,Pden]=mulnd(P1n,P1d,P2n,P2d,typ)
% MULND Multiplication of two numerator and denominator matrices.
% MULND(P1N,P1D,P2N,P2D) produces the correlated multiplication of P1N,P1D,
%
www.eeworm.com/read/436945/7758458
m contents.m
% Discriminant analysis toolbox.
% Version 0.3 99/04/30
% Copyright (C) 1999 Michael Kiefte.
% See the accompanying README file for information.
%
% Discriminant Analysis.
% lda - Linear discri
www.eeworm.com/read/196932/8040066
m bcmprepare.m
function net = bcmprepare(net, verbosity)
% bcmprepare - Pre-compute prior matrices for Bayesian Committee Machine (BCM)
%
% Synopsis:
% net = bcmprepare(net)
% net = bcmprepare(net,verbosity)
%
www.eeworm.com/read/397102/8068265
m meancov.m
%MEANCOV Means and covariance estimation from multiclass data
%
% [U,G] = meancov(A)
%
% Computation of a set of mean vectors U and a set of covariance
% matrices G of the classes in the dataset A
www.eeworm.com/read/296909/8072973
m inv.m
function r = inv(x)
% GPVAR/INV Implements inverse function for GP variables
% (it takes pointwise inverse for vectors and matrices).
%
r = x.^(-1);