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/366853/9795873

m tc_hermite.m

function H=tc_hermite(x,y,dy,xx) % Hermite插值 07年12月6日 % x表示输入函数变量 y表示函数变量对应的值 dy为对应的导数 %x中不应该含有相同的数值 m=length(x); if(isempty(dy)==1) dy=gradient(y,x); end %if 如果此处导数缺省采用均差代替
www.eeworm.com/read/411619/11236984

plg gradpal.plg

Build Log --------------------Configuration: gradpal - Win32 Debug-------------------- Command Lines Creating temporary file "D:\TEMP\RSP9.tmp"
www.eeworm.com/read/133875/14019999

m exm05522_1.m

%exm05522_1.m 表现diff和gradient指令计算。 clear F=[1,2,3;4,5,6;7,8,9] Dx=diff(F) %相邻行差分 Dx_2=diff(F,1,2) %相邻列差分。第三输入宗量2表示"列"差分。 [FX,FY]=gradient(F) %数据点步长默认为1 [FX_2,FY_2]=gradient(F,0.5)
www.eeworm.com/read/103618/15727910

m exm05522_1.m

%exm05522_1.m 表现diff和gradient指令计算。 clear F=[1,2,3;4,5,6;7,8,9] Dx=diff(F) %相邻行差分 Dx_2=diff(F,1,2) %相邻列差分。第三输入宗量2表示"列"差分。 [FX,FY]=gradient(F) %数据点步长默认为1 [FX_2,FY_2]=gradient(F,0.5)
www.eeworm.com/read/102394/15784398

c lmiterate.c

static int iterate (void *vstate, gsl_multifit_function_fdf * fdf, gsl_vector * x, gsl_vector * f, gsl_matrix * J, gsl_vector * dx, int scale) { lmder_state_t *state = (lmder_state_t *) vstate; g
www.eeworm.com/read/386279/8758378

m steepest_descent.m

function [min,solvec,stepnum]=steepest_descent(str,ini,err) % File name:steepest_descent.m % Author:Yan Anxin % ID number:081810 % Date:finished on 2008.11.16 % Description: %
www.eeworm.com/read/428849/8834698

m rbfpreimg2.m

function z = rbfpreimg2(varargin) % RBFPREIMG2 RBF pre-image problem by Gradient optimization. % % Synopsis: % z = rbfpreimg2(model) % z = rbfpreimg2(model,options) % % Description: % z = rbfprei
www.eeworm.com/read/362246/10010189

m rbfpreimg2.m

function z = rbfpreimg2(varargin) % RBFPREIMG2 RBF pre-image problem by Gradient optimization. % % Synopsis: % z = rbfpreimg2(model) % z = rbfpreimg2(model,options) % % Description: % z = rbfprei
www.eeworm.com/read/280595/10312003

m rbfpreimg2.m

function z = rbfpreimg2(varargin) % RBFPREIMG2 RBF pre-image problem by Gradient optimization. % % Synopsis: % z = rbfpreimg2(model) % z = rbfpreimg2(model,options) % % Description: % z = rbfprei
www.eeworm.com/read/417046/11005396

java snakuscule_.java

/*==================================================================== | Version: November 27, 2007 \===================================================================*/ /*======================