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/449504/7502282
m pow_mind.m
% PURPOSE: Demonstrate pow_min optimization function
% using the Banana function
% f(x,y)=-100*(y-x*x)^2-(1-x)^2, starting at [0; 0].
%---------------------------------------------------
www.eeworm.com/read/446239/7583004
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/398726/7926979
m nsga_2.m
function nsga_2(pop,gen)
%% function nsga_2(pop,gen)
% is a multi-objective optimization function where the input arguments are
% pop - Population size
% gen - Total number of generations
%
www.eeworm.com/read/398552/7940006
txt readme.txt
README FOR THE BNBGUI
INSTALLATION
To function BNB needs:
Matlab 5.3 or newer
Optimization Toolbox 2.0
the Courier-LD font (8 points, regular)
Unzip BNB.zip to an empty directory that's i
www.eeworm.com/read/397122/8065908
m bay_initlssvm.m
function [model, ss] = bay_initlssvm(model)
% Initialize the hyperparameters [$ \gamma$] and [$ \sigma^2$] before optimization with bay_optimize
%
% >> [gam, sig2] = bay_initlssvm({X,Y,type,[],[]})
www.eeworm.com/read/331336/12832638
m bay_initlssvm.m
function [model, ss] = bay_initlssvm(model)
% Initialize the hyperparameters [$ \gamma$] and [$ \sigma^2$] before optimization with bay_optimize
%
% >> [gam, sig2] = bay_initlssvm({X,Y,type,[],[]})
www.eeworm.com/read/140851/13059080
m scg.m
function [x, options, flog, pointlog, scalelog] = scg(f, x, options, gradf, varargin)
%SCG Scaled conjugate gradient optimization.
%
% Description
% [X, OPTIONS] = SCG(F, X, OPTIONS, GRADF) uses a
www.eeworm.com/read/138798/13212130
m scg.m
function [x, options, flog, pointlog, scalelog] = scg(f, x, options, gradf, varargin)
%SCG Scaled conjugate gradient optimization.
%
% Description
% [X, OPTIONS] = SCG(F, X, OPTIONS, GRADF) uses a
www.eeworm.com/read/324303/13273870
m bay_initlssvm.m
function [model, ss] = bay_initlssvm(model)
% Initialize the hyperparameters [$ \gamma$] and [$ \sigma^2$] before optimization with bay_optimize
%
% >> [gam, sig2] = bay_initlssvm({X,Y,type,[],[]})
www.eeworm.com/read/322381/13380970
txt readme.txt
README FOR THE BNBGUI
INSTALLATION
To function BNB needs:
Matlab 5.3 or newer
Optimization Toolbox 2.0
the Courier-LD font (8 points, regular)
Unzip BNB.zip to an empty directory that's i