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/299178/7881316
m spdiags.m
function [res1,res2] = spdiags(arg1,arg2,arg3,arg4)
%SPDIAGS Sparse matrix formed from diagonals.
% SPDIAGS, which generalizes the function "diag", deals with three
% matrices, in various combi
www.eeworm.com/read/398324/7994175
m evaluate.m
function K = evaluate(ker, x1, x2)
% EVALUATE
%
% Evaluate a Gaussian radial basis kernel, for example
%
% K = evaluate(kernel, x1, x2);
%
% where x1 and x2 are matrices containing input p
www.eeworm.com/read/398324/7994301
m evaluate.m
function K = evaluate(ker, x1, x2)
% EVALUATE
%
% Evaluate a Gaussian radial basis kernel, for example
%
% K = evaluate(kernel, x1, x2);
%
% where x1 and x2 are matrices containing input p
www.eeworm.com/read/398324/7994439
m evaluate.m
function K = evaluate(ker, x1, x2)
% EVALUATE
%
% Evaluate a linear kernel, for example
%
% K = evaluate(ker, x1, x2);
%
% where x1 and x2 are matrices containing input patterns, where ea
www.eeworm.com/read/398324/7994589
m evaluate.m
function K = evaluate(ker, x1, x2)
% EVALUATE
%
% Evaluate a linear kernel, for example
%
% K = evaluate(ker, x1, x2);
%
% where x1 and x2 are matrices containing input patterns, where ea
www.eeworm.com/read/297325/8029689
m cornerfinder.m
function [xc,good,bad,type] = cornerfinder(xt,I,wintx,winty,wx2,wy2);
%[xc] = cornerfinder(xt,I);
%
%Finds the sub-pixel corners on the image I with initial guess xt
%xt and xc are 2xN matrices.
www.eeworm.com/read/296909/8073099
m eq.m
function r = eq(lhs,rhs)
% MONOMIAL/EQ Implements '==' for monomials.
%
sz1 = size(lhs); sz2 = size(rhs);
if( sz1(1) > 1 & sz1(2) > 1)
error(['Cannot impose pointwise equality with matrices of mon
www.eeworm.com/read/145715/12706072
m cornerfinder.m
function [xc,good,bad,type] = cornerfinder(xt,I,wintx,winty,wx2,wy2);
%[xc] = cornerfinder(xt,I);
%
%Finds the sub-pixel corners on the image I with initial guess xt
%xt and xc are 2xN matrices.
www.eeworm.com/read/245176/12813209
m evaluate.m
function K = evaluate(ker, x1, x2)
% EVALUATE
%
% Evaluate a Gaussian radial basis kernel, for example
%
% K = evaluate(kernel, x1, x2);
%
% where x1 and x2 are matrices containing input p