代码搜索：Gradient

找到约 2,951 项符合「Gradient」的源代码

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ado arima_dr.ado

*! version 6.1.3 14mar2005 program define arima_dr version 6 args todo /* whether to calculate gradient */ bc /* Name of full beta matrix */ llvar /* Name of variable to hold
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www.eeworm.com/read/273525/4207738

ado arch.ado

*! version 6.0.21 04apr2005 program define arch, eclass version 6.0, missing /* limits, etc. */ local mnonlin 50 /* sarch narch ... terms */ local gtol .05 /* gradient tolerance */
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www.eeworm.com/read/409190/2237567

makefile

# # This makefile can be used to build a Win32 application under Cygwin # include ../../../Makefile.in.$(shell uname) PROGNAME=gradient_focal OUTNAME=$(PROGNAME) PLATFORM=win32 CXXFLAGS= $(AGGCXXFL
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www.eeworm.com/read/409190/2237716

makefile

# # This makefile can be used to build a Win32 application under Cygwin # include ../../../Makefile.in.$(shell uname) PROGNAME=alpha_gradient OUTNAME=$(PROGNAME) PLATFORM=win32 CXXFLAGS= $(AGGCXXFL
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www.eeworm.com/read/403190/2314007

svn-base callback_active_contour.m.svn-base

function y = callback_active_contour(x, options) % callback_active_contour - callback for conjugate gradient % % y = callback_active_contour(x, options); % % Copytight (c) 2007 Gabriel Peyre
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m netgrad.m

function g = netgrad(w, net, x, t) %NETGRAD Evaluate network error gradient for generic optimizers % % Description % % G = NETGRAD(W, NET, X, T) takes a weight vector W and a network data %
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www.eeworm.com/read/359369/2978453

m scg.m

function [x, options, flog, pointlog, scalelog] = scg(f, x, options, gradf, varargin) %SCG Scaled conjugate gradient optimization. % % Description % [X, OPTIONS] = SCG(F, X, OPTIONS, GRADF) uses a
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www.eeworm.com/read/359369/2978489

m gpgrad.m

function g = gpgrad(net, x, t) %GPGRAD Evaluate error gradient for Gaussian Process. % % Description % G = GPGRAD(NET, X, T) takes a Gaussian Process data structure NET % together with a matrix
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www.eeworm.com/read/359369/2978504

m glmgrad.m

function [g, gdata, gprior] = glmgrad(net, x, t) %GLMGRAD Evaluate gradient of error function for generalized linear model. % % Description % G = GLMGRAD(NET, X, T) takes a generalized linear mode
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www.eeworm.com/read/265319/4283106

java gradienticon.java

// GradientIcon.java // GradientIcon is an Icon implementation that draws a 16 x 16 // gradient from startColor to endColor. package com.deitel.advjhtp1.drawing; // Java core packages import ja
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