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/240722/4570572
in ckpt_1hsosksxalpha.in
mpqc: (
savestate = yes
restart = yes
restart_file = "ckpt_0hsosksxalpha.wfn"
do_energy = yes
do_gradient = yes
)
www.eeworm.com/read/240722/4570590
in ckpt_1clksxalpha.in
mpqc: (
savestate = yes
restart = yes
restart_file = "ckpt_0clksxalpha.wfn"
do_energy = yes
do_gradient = yes
)
www.eeworm.com/read/216626/4889546
bas_fun tetrahedron.0.bas_fun
1
3 0
0.25 0.25 0.25
0 0 0 0 0
./tetrahedron.0.bas_fun.so
chi gradient_chi
www.eeworm.com/read/432926/1886126
pde radialgradient.pde
/**
* Simple Radial Gradient
* by Ira Greenberg.
*
* Using the convenient red(), green()
* and blue() component functions,
* generate an array of radial gradients.
*/
void setup(){
size
www.eeworm.com/read/388600/2549153
sconstruct
from rsfproj import *
import math
# Velocity model
########################################
v0 = 0.5 # velocity at the origin
gz = 0.8 # vertical gradient
gx = 0.6 # horizontal g
www.eeworm.com/read/388600/2549155
sconstruct
from rsfproj import *
import math, sys
# Velocity model
########################################
v0 = 0.5 # velocity at the origin
gz = 0.8 # vertical gradient
gx = 0.6 # horizon
www.eeworm.com/read/377584/2698985
h preprocess.h
// -*- C++ -*-
// SVM with stochastic gradient (preprocessing)
// Copyright (C) 2007- Leon Bottou
// This program is free software; you can redistribute it and/or
// modify it under the terms of the
www.eeworm.com/read/377584/2698993
cpp preprocess.cpp
// -*- C++ -*-
// SVM with stochastic gradient (preprocessing)
// Copyright (C) 2007- Leon Bottou
// This program is free software; you can redistribute it and/or
// modify it under the terms of the
www.eeworm.com/read/369958/2788113
m lagrangeupdate.m
function [deltAlp,Stepmax] = LagrangeUpdate(DirSigma,Sigma,Xsup,Alpsup,C,pow);
%LAGRANGEUPDATE Compute gradient and maximal change in Lagrange multipliers
% [DELTALP,STEPMAX] = LAGRANGEUPDATE(DI
www.eeworm.com/read/295595/8150724
m lagrangeupdate.m
function [deltAlp,Stepmax] = LagrangeUpdate(DirSigma,Sigma,Xsup,Alpsup,C,pow);
%LAGRANGEUPDATE Compute gradient and maximal change in Lagrange multipliers
% [DELTALP,STEPMAX] = LAGRANGEUPDATE(DI