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/289488/8548307
m exrankboost1.m
%function exrankboost1(data);
% Model Selection for analysing rankboost performance
% on ROC curve optimization with real data
%
% This code has been used in the SVM-AUC TechRep
% 30/07/2004
www.eeworm.com/read/285874/8806201
htm mi20.htm
More Effective C++ | Item 20: Facilitate the return value optimization Back to Item 19: Understand the origin of temporary objects
Continue to Item 21: Overload to avoid implicit type conversions
Ite
www.eeworm.com/read/187342/8832283
debug makefile.linux.debug
#
# Makefile for antiword (Linux version)
#
CC = gcc
LD = gcc
INSTALL = cp -f
INSTALL_PROGRAM = $(INSTALL)
INSTALL_DATA = $(INSTALL)
# must be equal to DEBUG or NDEBUG
DB = DEBUG
# Optimization: -
www.eeworm.com/read/187342/8832517
linux makefile.linux
#
# Makefile for antiword (Linux version)
#
CC = gcc
LD = gcc
INSTALL = cp -f
INSTALL_PROGRAM = $(INSTALL)
INSTALL_DATA = $(INSTALL)
# must be equal to DEBUG or NDEBUG
DB = NDEBUG
# Optimization:
www.eeworm.com/read/383097/8973691
m nsga_2.m
function nsga_2()
%% Main Function
% Main program to run the NSGA-II MOEA.
% Read the corresponding documentation to learn more about multiobjective
% optimization using evolutionary algorithms.
www.eeworm.com/read/381172/9106519
m nsga_2.m
function nsga_2()
%% Main Function
% Main program to run the NSGA-II MOEA.
% Read the corresponding documentation to learn more about multiobjective
% optimization using evolutionary algorithms.
www.eeworm.com/read/373627/9446088
r ch16.r
#-*- R -*-
## Script from Fourth Edition of `Modern Applied Statistics with S'
# Chapter 16 Optimization and Mazimum Likelihood Estimation
library(MASS)
postscript(file="ch16.ps", width=8, height
www.eeworm.com/read/169273/9870751
c optimumt1.c
//This program is used to optimize a high Pass Filter.
//Optimization can be implemented through External_Point_Punishment Method + Nelder and Mead's Simplex method
#define N 4 //the number of var
www.eeworm.com/read/362500/9995885
m fun1.m
function [f,df] =fun1(x,Tscores,Uscores)
%FUN1 Objective function calculation for NNPLS
% Function calculation for use with optimization routine
% for determining weights in backprop network.
%
www.eeworm.com/read/362096/10019323
makefile
#
# Makefile for mysvm
#
# if you get memory errors using mySVM (segmentation fault, bus error,...)
# compile mySVM with less or without optimization (setting CFLAGS = -Wall).
CFLAGS = -Wall -O4
CC =