代码搜索：optimization

找到约 10,000 项符合「optimization」的源代码

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热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
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m new_f_svs.m

function [frac_SV2,alf,b,svx] = new_f_svs(sigma,x,labx,frac_error,fracsv,... thiseps); % Support function for the training of the SVDD in the optimization % r
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www.eeworm.com/read/360340/10101806

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.
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www.eeworm.com/read/355287/10281137

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 =
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www.eeworm.com/read/162188/10327959

src optmum.src

/* ** optmum.src - General Nonlinear Optimization ** (C) Copyright 1988-1998 by Aptech Systems, Inc. ** All Rights Reserved. ** ** This Software Product is PROPRIETARY SOURCE CODE OF APTECH ** S
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www.eeworm.com/read/424743/10420348

m testmop.m

function mop = testmop( testname, dimension ) %Get test multi-objective problems from a given name. % The method get testing or benchmark problems for Multi-Objective % Optimization. The implement
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www.eeworm.com/read/279032/10479288

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
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www.eeworm.com/read/160163/10562285

icc makefile.icc

# MAKEFILE for linux ICC (Intel C compiler) # # Tested with ICC v8.... # # Be aware that ICC isn't quite as stable as GCC and several optimization switches # seem to break the code (that GCC and MSVC
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www.eeworm.com/read/467534/7005207

html spheremodel.html

The GA Playground: Sphere Model
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www.eeworm.com/read/467534/7005211

html gaaall.html

The GA Playground: General Function Optimization
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www.eeworm.com/read/466832/7021279

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.
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