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Jingdong book

优化建模与LINDO\LINGO软件

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优化建模与LINDO\LINGO软件

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LINDO和LINGO是美国LINDO系统公司开发的一套专门用于求解优化问题的软件包.LINDO用于求解线性规划和二次规划问题,LINGO除了具有LINDO的全部功能外,还可以用于求解非线性规划问题,也可以用于一些线性和非线性方程(组)的求解,等等。
LINDO和LINGO软件的特色在于可以允许优化模型中的决策变量是整数(即整数规划),而且执行速度很快。LINGO实际上还是优化问题的一种建模语言,包括许多常用的函数可供使用者建立优化模型时调用,并提供与其他数据文件(如文本文件、Excel电子表格文件、数据库文件等)的接口,易于方便地输入、求解和分析大规模优化问题.由于这些特点,LINDO和LINGO软件在教学、科研和工业、商业、服务等领域得到了广泛应用。
《优化建模与LINDO\LINGO软件》详细介绍在Microsoft Windows环境下运行的新版本(LINDO 6.1,LINGO 9.0)的使用方法,并包括社会、经济、工程等方面的大量实际应用问题的数学建模和求解实例,可供了解和使用优化建模和优化软件的教师和学生、管理决策者、科技工作者及其他对此感兴趣的读者阅读,也可作为运筹学课程的教学参考书。
Catalogue

第1章 引言
1.1 优化模型的基本概念
1.1.1 优化模型的一般形式
1.1.2 可行解与最优解
1.1.3 优化模型的基本类型
1.2 优化问题的建模实例
1.2.1 线性规划模型
1.2.2 二次规划模型
1.2.3 非线性规划模型
1.2.4 整数规划模型
1.2.5 其他优化模型
1.3 LINDO/LINGO软件简介
1.3.1 LINDO/LINGO软件的基本功能
1.3.2 LINDO/LINGO软件的求解过程
1.3.3 建立LINDO/LINGO优化模型需要注意的几个基本问题
习题1

第2章 LINDO软件的基本使用方法
2.1 LINDO入门
2.1.1 LINDO软件的安装过程
2.1.2 编写一个简单的LINDO程序
2.1.3 一些注意事项
2.2 敏感性分析
2.3 整数线性规划的求解
*2.4 二次规划的求解
*2.5 LINDO的主要菜单命令
2.5.1 文件主菜单
2.5.2 编辑主菜单
2.5.3 求解主菜单
2.5.4 报告主菜单
*2.6 LINDO命令窗口
2.6.1 INFORMATION(信息类命令)
2.6.2 INPUT(输入类命令)
2.6.3 DISPLAY(显示类命令)
2.6.4 OUTPUT(输出类命令)
2.6.5 SOLUTION(求解类命令)
2.6.6 PROBLEM EDITING (编辑类命令)
2.6.7 QUIT(退出类命令)
2.6.8 INTEGER,QUADRATIC,AND PARAMETRIC PROGRAMS(整数、二次与参数规划类命令)
2.6.9 CONVERSATIONAL PARAMETERS(对话类命令)
2.6.1 0USER SUPPLIED ROUTINES(用户过程类命令)
2.6.1 1MISCELLANEOUS(其他命令)
*2.7 LINDO命令脚本文件
附录MPS格式数据文件
习题2

第3章 LINGO软件的基本使用方法
3.1 LINGO入门
3.1.1 LINGO软件的安装过程和主要特色
3.1.2 在LINGO中使用LINDO模型
3.1.3 编写一个简单的LINGO程序
3.2 在LINGO中使用集合
3.2.1 集合的基本用法和LINGO模型的基本要素
3.2.2 基本集合与派生集合
3.2.3 稠密集合与稀疏集合
3.2.4 集合的使用小结
3.3 运算符和函数
3.3.1 运算符及其优先级
3.3.2 基本的数学函数
3.3.3 集合循环函数
3.3.4 集合操作函数
3.3.5 变量定界函数
3.3.6 财务会计函数
3.3.7 概率论中的相关函数
3.3.8 文件输入输出函数
3.3.9 结果报告函数
3.3.10 其他函数
3.4 LINGO的主要菜单命令
3.4.1 文件主菜单
3.4.2 编辑主菜单
3.4.3 LINGO系统(LINGO)主菜单
3.5 LINGO命令窗口
习题3

第4章 LINGO软件与外部文件的接口
第5章 生产与服务运作管理中的优化问题
第6章 经济与金融中的优化问题
第7章 图论与网络模型
第8章 目标规划模型
第9章 对策论模型
第10章 排队论模型
第11章 存储论模型
第12章 数学建模竞赛中的部分优化问题
参考文献
Book Abstract

《优化建模与LINDO\LINGO软件》:
2.识别优化模型的类型
对等式约束的直接处理完成后,直接求解程序将对输入的模型进行分析,自动识别模型的数学结构和性质,确定优化模型的类型,从而决定下一步采用什么求解程序。如果模型是(连续)线性规划,下一步将直接调用线性优化求解程序;如果模型是(连续)非线性规划,下一步将直接调用非线性优化求解程序;如果模型是整数规划,则下一步将直接调用整数规划求解程序,主要是通过调用分支定界管理程序进行求解。分支定界管理程序主要用于管理整数规划问题的分支定界算法,在运行中还要不断调用线性优化求解程序和非线性优化求解程序进行定界处理。整数规划求解程序本身通常还有一个预处理程序,主要是为了对整数线性规划模型生成有效的割平面(有效的割平面可以显著地减少求解整数规划所需要的计算时间)。
线性优化求解程序通常使用单纯形算法,为了能解大规模问题,也提供了内点算法(LINGO中一般称为障碍法,即barrier)以备选用,非线性优化求解程序采用的是顺序线性规划法(sequential linear programming,SLP),即通过迭代求解一系列线性规划来逼近、达到求解非线性规划的目的,非线性优化求解程序也可以使用其化算法,如顺序二次规划法(sequential quadratic programming,SQP),广义既约梯度法(generalized reduced gradient,GRG),并可以让软件自动选择多个初始点开始进行多次求解(LINGO中称为multistart),以便通过找到多个局部最优解增加找到全局最优解的可能性。
……

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