代码搜索:nonlinear

找到约 2,099 项符合「nonlinear」的源代码

代码结果 2,099
www.eeworm.com/read/157345/11718409

m kpca_toy.m

% Kernel PCA toy example for k(x,y)=exp(-||x-y||^2/rbf_var), cf. Fig. 4 in % @article{SchSmoMue98, % author = "B.~{Sch\"olkopf} and A.~Smola and K.-R.~{M\"uller}", % title = "Nonlinear
www.eeworm.com/read/225300/14545428

txt kpca(classicc).txt

% Kernel PCA toy example for k(x,y)=exp(-||x-y||^2/rbf_var), cf. Fig. 4 in % @article{SchSmoMue98, % author = "B.~{Sch\"olkopf} and A.~Smola and K.-R.~{M\"uller}", % title = "Nonlinear
www.eeworm.com/read/205038/15328561

html quick.html

Nonlinear Time Series Routines TISEAN 3.0.1
www.eeworm.com/read/291638/8406524

h cc.h

/******************************************************** * CC.h * 说明:利用文(1)中的C-C算法计算各种混沌时间序列的嵌入      维数和最佳延时 * 2004,11.1 zya * (1) Kim, HS, Eykholt, R. and Salas, JD, 1999, "Nonlinear
www.eeworm.com/read/186415/8934123

m kpca_toy.m

% Kernel PCA toy example for k(x,y)=exp(-||x-y||^2/rbf_var), cf. Fig. 4 in % @article{SchSmoMue98, % author = "B.~{Sch\"olkopf} and A.~Smola and K.-R.~{M\"uller}", % title = "Nonlinear com
www.eeworm.com/read/163924/10139814

m vgg_x_from_xp_nonlin.m

%vgg_X_from_xP_nonlin Estimation of 3D point from image matches and camera matrices, nonlinear. % X = vgg_X_from_xP_lin(x,P,imsize) computes max. likelihood estimate of projective % 3D point X
www.eeworm.com/read/460330/7253780

m srung5.m

% Function Subprogram srung3.m % % Solving the nonlinear parts of the coupled differential % equations using a fourth-order Runge-Kutta algorithm % function y = srung3(rho1,rho2,sig1,sig2,a,b,h
www.eeworm.com/read/145018/12756071

m kpca_toy.m

% Kernel PCA toy example for k(x,y)=exp(-||x-y||^2/rbf_var), cf. Fig. 4 in % @article{SchSmoMue98, % author = "B.~{Sch\"olkopf} and A.~Smola and K.-R.~{M\"uller}", % title = "Nonlinear com
www.eeworm.com/read/305201/13777002

m vgg_x_from_xp_nonlin.m

%vgg_X_from_xP_nonlin Estimation of 3D point from image matches and camera matrices, nonlinear. % X = vgg_X_from_xP_lin(x,P,imsize) computes max. likelihood estimate of projective % 3D point X
www.eeworm.com/read/347945/11623548

m initializesolution.m

function [p,x_min,upper] = initializesolution(p); x_min = zeros(length(p.c),1); upper = inf; if p.options.usex0 x = p.x0; z = evaluate_nonlinear(p,x); residual = constraint_residua