代码搜索：optimization
找到约 10,000 项符合「optimization」的源代码
代码结果 10,000
www.eeworm.com/read/410537/11278910
m f6_spiral_dyn.m
% f6_spiral_dyn.m
% Schaffer's F6 function
% commonly used to test optimization/global minimization problems
%
% This version moves the minimum about a Fermat Spiral
% according to the equation:
www.eeworm.com/read/403164/11521292
c global.c
#include
#include "global.h"
/*
const char data[] =
"This example demonstrates how Profile-Guided Optimization can be "
"affected by dual-core applications. This text will
www.eeworm.com/read/402337/11536923
m pso.m
%------基本粒子群优化算法（Particle Swarm Optimization）-----------
function pg = PSO( void )
%--------声明全局---------------------------
global N;
global m;
global MaxDT;
global Qmax;
global Kmax;
global w
www.eeworm.com/read/341340/12090145
readme
asa_cg is an active set algorithm for solving a bound constrained
optimization problem of the form:
min f (x) subject to lo
www.eeworm.com/read/150749/12267409
m bay_initlssvm.m
function [model, ss] = bay_initlssvm(model)
% Initialize the hyperparameters [$ \gamma$] and [$ \sigma^2$] before optimization with bay_optimize
%
% >> [gam, sig2] = bay_initlssvm({X,Y,type,[],[]})
www.eeworm.com/read/250314/12414808
m f6_spiral_dyn.m
% f6_spiral_dyn.m
% Schaffer's F6 function
% commonly used to test optimization/global minimization problems
%
% This version moves the minimum about a Fermat Spiral
% according to the equation:
www.eeworm.com/read/232588/14191641
m f6_spiral_dyn.m
% f6_spiral_dyn.m
% Schaffer's F6 function
% commonly used to test optimization/global minimization problems
%
% This version moves the minimum about a Fermat Spiral
% according to the equation:
www.eeworm.com/read/220636/14794599
m f6_spiral_dyn.m
% f6_spiral_dyn.m
% Schaffer's F6 function
% commonly used to test optimization/global minimization problems
%
% This version moves the minimum about a Fermat Spiral
% according to the equation:
www.eeworm.com/read/119681/14824489
m bay_initlssvm.m
function [model, ss] = bay_initlssvm(model)
% Initialize the hyperparameters [$ \gamma$] and [$ \sigma^2$] before optimization with bay_optimize
%
% >> [gam, sig2] = bay_initlssvm({X,Y,type,[],[]})
www.eeworm.com/read/118014/14890762
pas ftpmisc.pas
unit FtpMisc;
interface
uses SysUtils, Windows;
{$I mftp.inc}
{$ifdef OPTIMIZATION}
const
SumMonthDays: array [Boolean] of TDayTable =
((0, 31, 59, 90, 120, 151, 181, 212, 243, 2