代码搜索：gradient

找到约 2,951 项符合「gradient」的源代码

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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
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www.eeworm.com/read/307394/13723441

m evolution.m

function u = EVOLUTION(u0, g, lambda, mu, alf, epsilon, delt, numIter) % EVOLUTION(u0, g, lambda, mu, alf, epsilon, delt, numIter) updates the level set function % according to the level set evol
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www.eeworm.com/read/304909/13783530

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 t
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www.eeworm.com/read/301928/13845615

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 t
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www.eeworm.com/read/136165/13870606

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
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www.eeworm.com/read/238545/13876348

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
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www.eeworm.com/read/152629/5672705

java testminimizable.java

/* Copyright (C) 2002 Univ. of Massachusetts Amherst, Computer Science Dept. This file is part of "MALLET" (MAchine Learning for LanguagE Toolkit). http://www.cs.umass.edu/~mccallum/mallet Th
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java testmaximizable.java

/* Copyright (C) 2002 Univ. of Massachusetts Amherst, Computer Science Dept. This file is part of "MALLET" (MAchine Learning for LanguagE Toolkit). http://www.cs.umass.edu/~mccallum/mallet Th
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www.eeworm.com/read/147682/5728153

m asptsovvsslms.m

% [w,g,mu,y,e,xb]= asptsovvsslms(xn,xb,w,g,d,mu,L1,L2,roh,ssa,mu_min,mu_max) % % Performs filtering and coefficient update using the % Second Order Volterra Variable Step Size Least Mean %
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www.eeworm.com/read/136827/5846739

h graphic.h

/********************************************************************** ** Copyright (C) 2000-2005 Trolltech AS and its licensors. ** All rights reserved. ** ** This file is part of the Qtopia Environ
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