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/289680/8535136
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/188280/8552271
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/384512/8865878
m som_write_data.m
function som_write_data(sData, filename, missing)
%SOM_WRITE_DATA Writes data structs/matrices to a file in SOM_PAK format.
%
% som_write_data(data,filename,[missing])
%
% som_write_data(sD,'system.
www.eeworm.com/read/183443/9158962
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/181389/9256550
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/181388/9256698
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/178406/9399796
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/178406/9399883
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/371680/9542250
m conthess.m
function H = conthess(x)
% Compute numerically hessian matrices of F(x)
%
% hess is a multidimensional matrix: hess(i,j,k) = d^2 F_i / dx_j dx_k
global cds
ndim = cds.ndim;
Increment = c