代码搜索：gradient
找到约 2,951 项符合「gradient」的源代码
代码结果 2,951
www.eeworm.com/read/155223/11888830
m gazbgradeval.m
function [nsol, val] = gaZBGradEval(sol,options)
% This evaluation function takes in a potential solution and two options
% options(3) is the percent of time to perform the gradient heuristic to the
www.eeworm.com/read/154210/11982680
m gazbgradeval.m
function [nsol, val] = gaZBGradEval(sol,options)
% This evaluation function takes in a potential solution and two options
% options(3) is the percent of time to perform the gradient heuristic to the
www.eeworm.com/read/256398/12001720
m gradlbfixed.m
function [grad] = gradlbfixed(Sigma,indsup,Alpsup,w0,C,Xapp,yapp,pow);
%GRADLBFIXED Computes the gradient of an upper bound on SVM loss wrt SIGMA^POW
% GRAD = GRADLBFIXED(SIGMA,INDSUP,ALPSUP,W0,C,X
www.eeworm.com/read/256398/12001728
m gradlfixed.m
function [grad] = gradlfixed(Sigma,indsup,Alpsup,C,Xapp,yapp,pow);
%GRADLFIXED Computes the gradient of an upper bound on SVM loss wrt SIGMA^POW
% GRAD = GRADLFIXED(SIGMA,INDSUP,ALPSUP,C,XAPP,YAPP,
www.eeworm.com/read/153036/12064762
m gazbgradeval.m
function [nsol, val] = gaZBGradEval(sol,options)
% This evaluation function takes in a potential solution and two options
% options(3) is the percent of time to perform the gradient heuristic to the
www.eeworm.com/read/341565/12077300
m gazbgradeval.m
function [nsol, val] = gaZBGradEval(sol,options)
% This evaluation function takes in a potential solution and two options
% options(3) is the percent of time to perform the gradient heuristic to the
www.eeworm.com/read/341458/12083546
m gazbgradeval.m
function [nsol, val] = gaZBGradEval(sol,options)
% This evaluation function takes in a potential solution and two options
% options(3) is the percent of time to perform the gradient heuristic to the
www.eeworm.com/read/341196/12103955
m gazbgradeval.m
function [nsol, val] = gaZBGradEval(sol,options)
% This evaluation function takes in a potential solution and two options
% options(3) is the percent of time to perform the gradient heuristic to the
www.eeworm.com/read/152442/12113184
m gvf.m
function [u,v] = GVF(f, mu, ITER)
%GVF Compute gradient vector flow.
% [u,v] = GVF(f, mu, ITER) computes the
% GVF of an edge map f. mu is the GVF regularization coefficient
% and ITER is the n
www.eeworm.com/read/152396/12118024
m gazbgradeval.m
function [nsol, val] = gaZBGradEval(sol,options)
% This evaluation function takes in a potential solution and two options
% options(3) is the percent of time to perform the gradient heuristic to the