代码搜索：Generalized
找到约 2,645 项符合「Generalized」的源代码
代码结果 2,645
www.eeworm.com/read/338293/12314420
m cgsvd.m
function [U,sm,X,V,W] = cgsvd(A,L)
%CGSVD Compact generalized SVD of a matrix pair in regularization problems.
%
% sm = cgsvd(A,L)
% [U,sm,X,V] = cgsvd(A,L) , sm = [sigma,mu]
% [U,sm,X,V,W] = cgsvd(A
www.eeworm.com/read/338287/12314795
txt readme.txt
@ DPSO is based on the PSO version by Yuhui SHI.
@ Please see the OLD_README before reading this file!!!
/==================== Other Information =============================/
Dissipative PSO V1.
www.eeworm.com/read/251835/12317738
m modulus.m
function mu = modulus(M)
%MODULUS Conformal modulus of the generalized quadrilateral.
% Returns the conformal modulus of the polygon in the rectmap (the
% aspect ratio of the source rectangle).
www.eeworm.com/read/128468/14295648
m contents.m
% Generalized Anderson's task.
%
% andrdemo - Demonstrates algorithms which find solution of
% the Generalized Anderson's task (GAT).
%
% Algorithms:
% oanders - Original Ander
www.eeworm.com/read/223338/14644827
txt 3dtrans.txt
==========================================================================
ftp://ftp.mathworks.com/pub/contrib/v5/math/3Dtrans
3D Space Coordinate Transformations
This folder contains 3 files (
www.eeworm.com/read/220289/14843825
m glminit.m
function net = glminit(net, prior)
%GLMINIT Initialise the weights in a generalized linear model.
%
% Description
%
% NET = GLMINIT(NET, PRIOR) takes a generalized linear model NET and
% sets the weig
www.eeworm.com/read/220289/14843923
m demglm2.m
%DEMGLM2 Demonstrate simple classification using a generalized linear model.
%
% Description
% The problem consists of a two dimensional input matrix DATA and a
% vector of classifications T. The da
www.eeworm.com/read/213492/15133649
m pandr.m
function varargout = pandr(model,distrib)
% PANDR Visualizes solution of the Generalized Anderson's task.
%
% Synopsis:
% h = pandr(model)
%
% Description:
% It vizualizes solution of the Gen
www.eeworm.com/read/212307/15160133
m glminit.m
function net = glminit(net, prior)
%GLMINIT Initialise the weights in a generalized linear model.
%
% Description
%
% NET = GLMINIT(NET, PRIOR) takes a generalized linear model NET and
% sets the weig
www.eeworm.com/read/212307/15160210
m demglm2.m
%DEMGLM2 Demonstrate simple classification using a generalized linear model.
%
% Description
% The problem consists of a two dimensional input matrix DATA and a
% vector of classifications T. The da