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/216626/4889423
bas_fun triangle.dual.0.bas_fun
3
0 0
0.0000000000 0.0000000000
0 0 0 0
./triangle.dual.0.bas_fun.so
chi_0 gradient_chi_0
0 1
1.0000000000 0.0000000000
0 0 0 0
./triangle.dual.0.bas_fun.so
chi_1 gradient_chi_1
0 2
0.0000000000
www.eeworm.com/read/216626/4889436
bas_fun triangle.1.d.bas_fun
3
2 0
0.1666666667 0.1666666667
1 0 0 0
./triangle.1.D.bas_fun.so
lambda_1 gradient_lambda_1
2 0
0.6666666667 0.1666666667
1 0 0 0
./triangle.1.D.bas_fun.so
lambda_2 gradient_lambda_2
2 0
0.166
www.eeworm.com/read/216626/4889527
bas_fun twin_triangle.1.d.bas_fun
3
2 0
0.1666666667 0.1666666667
1 0 0 0
./twin_triangle.1.D.bas_fun.so
lambda_1 gradient_lambda_1
2 0
0.6666666667 0.1666666667
1 0 0 0
./twin_triangle.1.D.bas_fun.so
lambda_2 gradient_lambda_2
2
www.eeworm.com/read/129875/5968784
h resource.h
//{{NO_DEPENDENCIES}}
// Microsoft Developer Studio generated include file.
// Used by DIBSectionTestCE.rc
//
#define IDD_ABOUTBOX 100
#define IDR_MAINFRAME 1
www.eeworm.com/read/419697/10842971
c alg075.c
/*
* CONJUGATE GRADIENT ALGORITHM 7.5
*
* To solve Ax = b given the preconditioning matrix C inverse and
* an initial approximation x(0):
*
* INPUT: the number of equations and unknown
www.eeworm.com/read/140700/13066040
txt alg075.txt
> restart;
> # CONJUGATE GRADIENT ALGORITHM 7.5
> #
> # To solve Ax = b given the preconditioning matrix C inverse
> # and an initial approximation
> # x(0):
> #
> # INPUT: the number of equa
www.eeworm.com/read/140700/13066341
txt alg075.txt
> restart;
> # CONJUGATE GRADIENT ALGORITHM 7.5
> #
> # To solve Ax = b given the preconditioning matrix C inverse
> # and an initial approximation
> # x(0):
> #
> # INPUT: the number of equa
www.eeworm.com/read/140698/13066558
c alg075.c
/*
* CONJUGATE GRADIENT ALGORITHM 7.5
*
* To solve Ax = b given the preconditioning matrix C inverse and
* an initial approximation x(0):
*
* INPUT: the number of equations and unknown
www.eeworm.com/read/234163/14120294
m grinprodgausnodequad.m
function int=grinprodgausnodequad(g,I);
%grinprodgausnodequad Computes the gradient part of the system matrix
%in the quadratic basis case. The conductivity is in the linear basis.
% Function in
www.eeworm.com/read/378175/2689914
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