代码搜索:gradient

找到约 2,951 项符合「gradient」的源代码

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m contents.m

% Optimization Toolbox. % Version 1.0d 1-Mar-94 % % Nonlinear minimization of functions. % attgoal - Multi-objective goal attainment. % constr - Constrained minimization. % fmin
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bas grad.bas

Attribute VB_Name = "Grad" 'Gradient Background Source code - Released into the public domain by John Rogers, June 19, 1996 ' 'Requires VB40032.DLL. 'Gradient Background Demonstration program re
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m contents.m

% Optimization Toolbox. % Version 1.0d 1-Mar-94 % % Nonlinear minimization of functions. % attgoal - Multi-objective goal attainment. % constr - Constrained minimization. % fmin
www.eeworm.com/read/285772/8818573

cpp jetstream.cpp

///////////////////////////////////////////////////////////////////// // // Implementation file of JetStream, // which extracts contour based on particle filter // // XinFan 2003.5.26 //Ref
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h tsensor.h

/****************************************************************************** * tSensor.h * * Copyright 1994-2006 HolyStone Technology Co.,Ltd. * * DESCRIPTION: * * modification histor
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h tsensor.h

/****************************************************************************** * tSensor.h * * Copyright 1994-2006 HolyStone Technology Co.,Ltd. * * DESCRIPTION: * * modification histor
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h color.h

#ifndef __SWFDEC_COLOR_H__ #define __SWFDEC_COLOR_H__ #include "swfdec_types.h" typedef unsigned int swf_color; typedef struct swfdec_gradient_struct SwfdecGradient; typedef struct swfdec_gradient
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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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m gobj.m

% GOBJ: Computes the GMM objective function and its gradient % % SYNTAX: [obj, gradobj]=gobj(theta, popmom, data, W, varargin); % % INPUT % theta : A vector with the estimated paramet
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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