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/128684/5980364
m evaluate.m
function K = evaluate(ker, x1, x2)
% EVALUATE
%
% Evaluate a polynomial kernel, for example
%
% K = evaluate(kernel, x1, x2);
%
% where x1 and x2 are matrices containing input patterns, wh
www.eeworm.com/read/489609/6466704
rd stdize.rd
%% $Id: stdize.Rd 99 2006-10-04 10:54:35Z bhm $
\encoding{latin1}
\name{stdize}
\alias{stdize}
\alias{predict.stdized}
\alias{makepredictcall.stdized}
\title{Standardization of Data Matrices}
\descrip
www.eeworm.com/read/486345/6540227
m poly_mat_gen.m
function [poly_mat, inv_poly_mat] = poly_mat_gen (vargin)
%POLY_MAT Create polynomial coefficient matrices.
%
% [POLY_MAT, INV_POLY_MAT] = POLY_MAT_GEN
% creates the polynomial coefficient m
www.eeworm.com/read/483114/6609784
m evaluate1.m
function K = evaluate(ker, x1, x2)
% EVALUATE
%
% Evaluate a polynomial kernel, for example
%
% K = evaluate(kernel, x1, x2);
%
% where x1 and x2 are matrices containing input patterns, wh
www.eeworm.com/read/483114/6609785
m evaluate.m
function K = evaluate(ker, x1, x2)
% EVALUATE
%
% Evaluate a polynomial kernel, for example
%
% K = evaluate(kernel, x1, x2);
%
% where x1 and x2 are matrices containing input patterns, wh
www.eeworm.com/read/404736/11479520
m mallat_inv_split.m
% ----------------------------------------------
% mallat_inv_split : s閜are les matrices en sous-bandes
%
% utilisation :
%-------------
%
% [R1LL,R1LH,R1HL,R1HH] = mallat_inv_split(M1) ;
%
%
www.eeworm.com/read/231340/14238555
m shaffet2.m
function [Roto,M,K,F]=shaffet2(Rot,cmd1,cmd2)
%[Rot,M,K,F]=shaffet2(Rot)
%
%
% build a global mass & stifness matrices of a round shaft beam
% undergoing torsional vibration
%
% INPUT:
% R
www.eeworm.com/read/231340/14238626
m rotdamp.m
function [C,KH]=rotdamp(L,W,Cd)
% [C,KH]=rotdamp(L,W,Cd)
%
% returns the internal damping matrices (C*q'+KH*q)
%
% By I. Bucher
% Date 15-3-1996
% Rev. 1.0
% For RRA
TMP=zeros(4);
www.eeworm.com/read/128193/14311510
m evaluate.m
function K = evaluate(ker, x1, x2)
% EVALUATE
%
% Evaluate a polynomial kernel, for example
%
% K = evaluate(kernel, x1, x2);
%
% where x1 and x2 are matrices containing input patterns, wh
www.eeworm.com/read/222301/14697828
m evaluate.m
function K = evaluate(ker, x1, x2)
% EVALUATE
%
% Evaluate a polynomial kernel, for example
%
% K = evaluate(kernel, x1, x2);
%
% where x1 and x2 are matrices containing input patterns, wh