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/421174/10751766
m bp2_conj_grad_perbaikan.m
% backpropagation dengan conjugate gradient(learngdx)
clear;
% data input dan target
P=[0 1 2 1 10 12 -5 -8 -10 -15; 0 1 -1 6 3 -1 -2 2 -5 2];
T=[0 0 1 1 2 2 -1 -1 -2 -2];
% membangun jaringa
www.eeworm.com/read/339446/3306065
glsl conical_brush.glsl
// conical gradient shader
#define M_PI 3.14159265358979323846
uniform sampler1D palette;
uniform float angle;
uniform vec3 inv_matrix_m0;
uniform vec3 inv_matrix_m1;
uniform vec3 inv_matrix_m2;
vec
www.eeworm.com/read/381423/2646588
entries
D/basic-dialog////
D/box////
D/dd////
D/form////
/gradient-bg.gif/1.1/Sat Mar 10 05:53:53 2007/-kb/
D/grid////
D/layout////
D/menu////
D/qtip////
/s.gif/1.1/Sat Mar 10 05:53:53 2007/-kb/
/sh
www.eeworm.com/read/364803/2901378
entries
D/basic-dialog////
D/box////
D/dd////
D/form////
/gradient-bg.gif/1.1/Sat Mar 10 05:53:53 2007/-kb/
D/grid////
D/layout////
D/menu////
D/qtip////
/s.gif/1.1/Sat Mar 10 05:53:53 2007/-kb/
/sh
www.eeworm.com/read/424063/10501565
m goalgra.m
function [gfnew,gn] = goalgra(V,neqcstr,evalstr1,evalstr2,WEIGHT,GOAL,x,P1,P2,P3,P4,P5,P6);
%GOALGRA Utility function to translate gradient in goal-attainment problem.
% Intermediate function used t
www.eeworm.com/read/468319/6996360
c~ steep1.c~
#include
#include
#include
#define N 1000 /* ITERATIONS */
double grad1,grad2,grad3;
double gradient (double x1,double x2,double x3,int i);
double main_function(doubl
www.eeworm.com/read/450258/7486686
dem pm3dcolors.dem
#
# $Id: pm3dcolors.dem,v 1.2 2003/10/17 15:02:21 mikulik Exp $
#
# Test of new color modes for pm3d palettes.
#
# Gradient Palettes
#
set pm3d; set palette
set palette color
set pm3d map
set cbran
www.eeworm.com/read/198292/7941783
txt matlab.txt
I=imread('brand02.jpg');
HS_I=double(I);
tic
G=gradient(HS_I); % 计算梯度值
[y,x]=size(I);
T=60;
%%%%%%% 商标文字分割 %%%%%%%%%%
n=30;
GY=zeros(y,1);
for j=1:y
for i=1:x-n
Max=max(G
www.eeworm.com/read/324381/13266350
m fuse_gra.m
function Y = fuse_gra(M1, M2, zt, ap, mp)
%Y = fuse_gra(M1, M2, zt, ap, mp) image fusion with gradient pyramid
%
% M1 - input image #1
% M2 - input image #2
% zt - maximum decomposition level
www.eeworm.com/read/324378/13266554
m fuse_gra.m
function Y = fuse_gra(M1, M2, zt, ap, mp)
%Y = fuse_gra(M1, M2, zt, ap, mp) image fusion with gradient pyramid
%
% M1 - input image #1
% M2 - input image #2
% zt - maximum decomposition level