代码搜索:Tikhonov

找到约 22 项符合「Tikhonov」的源代码

代码结果 22
www.eeworm.com/read/161189/10439655

m tikhonov.m

function [x_lambda,rho,eta] = tikhonov(U,s,V,b,lambda,x_0) %TIKHONOV Tikhonov regularization. % % [x_lambda,rho,eta] = tikhonov(U,s,V,b,lambda,x_0) % [x_lambda,rho,eta] = tikhonov(U,sm,X,b,lambda,
www.eeworm.com/read/418911/10891973

m tikhonov.m

function [x_lambda,rho,eta] = tikhonov(U,s,V,b,lambda,x_0) %TIKHONOV Tikhonov regularization. % % [x_lambda,rho,eta] = tikhonov(U,s,V,b,lambda,x_0) % [x_lambda,rho,eta] = tikhonov(U,sm,X,b,lambda,x_0)
www.eeworm.com/read/338293/12314577

m tikhonov.m

function [x_lambda,rho,eta] = tikhonov(U,s,V,b,lambda,x_0) %TIKHONOV Tikhonov regularization. % % [x_lambda,rho,eta] = tikhonov(U,s,V,b,lambda,x_0) % [x_lambda,rho,eta] = tikhonov(U,sm,X,b,lambda,x_0)
www.eeworm.com/read/210916/15189945

m tikhonov.m

function [x_lambda,rho,eta] = tikhonov(U,s,V,b,lambda,x_0) %TIKHONOV Tikhonov regularization. % % [x_lambda,rho,eta] = tikhonov(U,s,V,b,lambda,x_0) % [x_lambda,rho,eta] = tikhonov(U,sm,X,b,lambda,x_0)
www.eeworm.com/read/343753/6963600

m ttr3.m

function [w1,b1,w2,b2,w3,b3,tr,rq] = ttr3(w1,b1,f1,w2,b2,f2,w3,b3,f3,... xc,P,T,VA,VAT,TE,TET,TP) %TTR3 Trains a feed-forward network with one hidden layer %using the Gauss-Newton method on a Ti
www.eeworm.com/read/343753/6963601

m ttr2.m

function [w1,b1,w2,b2,tr,rq] = ttr2(w1,b1,f1,w2,b2,f2,... xc,P,T,VA,VAT,TE,TET,TP) %TTR2 Trains a feed-forward network with one hidden layer %using the Gauss-Newton method on a Tikhonov regulari
www.eeworm.com/read/161189/10440065

m tikhcstr.m

function [x_lambda,rho,eta] = tikhcstr(A,b,G,d,L,lambda,x_0) %TIKHCSTR Tikhonov regularization with linear inequality constraints. % % [x_lambda,rho,eta] = tikhcstr(A,b,G,d,L,lambda,x_0) % % Compute
www.eeworm.com/read/161189/10440068

m tikhcstr.m

function [x_lambda,rho,eta] = tikhcstr(A,b,G,d,L,lambda,x_0) %TIKHCSTR Tikhonov regularization with linear inequality constraints. % % [x_lambda,rho,eta] = tikhcstr(A,b,G,d,L,lambda,x_0) % % Compute
www.eeworm.com/read/457216/1599700

m wcrobls.m

% Example 6.6: Comparison of worst-case robust, Tikhonov, and nominal least squares % Section 6.4.2, Figure 6.16 % Boyd & Vandenberghe "Convex Optimization" % Original by Lieven Vandenberghe % Adapted