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This statement has several effects. Again, they may be self-evident, but it is worthwhile to analyze them in detail. The
statement declares the existence of two parameters, gives them the names a and b, and declares their domains to be i and j,
respectively. (A domain is the set, or tuple of sets, over which a parameter, variable, or equation is defined.) The statement
also gives documentary text for each parameter and assigns values of a(i) and b(j) for each element of i and j. It is
perfectly acceptable to break this one statement into two, if you prefer, as follows.
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If you submit a file containing the statements above as input to the GAMS program, the transportation model will be
formulated and solved. Details vary on how to invoke GAMS on different of computers, but the simplest ('no frills') way to
call GAMS is to enter the word GAMS followed by the input file's name. You will see a number of terse lines describing the
progress GAMS is making, including the name of the file onto which the output is being written. When GAMS has finished,
examine this file, and if all has gone well the optimal shipments will be displayed at the bottom as follows.
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There are optional input components, such as edit checks for bad data and requests for customized reports of results. Other
optional advanced features include saving and restoring old models, and creating multiple models in a single run, but this
tutorial will discuss only the basic components.
Before treating the individual components, we give a few general remarks.
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ALPHAECP
AMPL
ANTIGONE 1.1
BARON
BDMLP
BENCH
BONMIN 1.8
CBC 2.9
CONOPT 3
CONOPT 4
CONVERT
COUENNE 0.5
CPLEX 12.7
DE
DECIS
DICOPT
EXAMINER
GAMSCHK
GLOMIQO 2.3
GUROBI 7.0
GUSS
IPOPT 3.12
JAMS
KESTREL
KNITRO 10.0
基于扩展平面切割(ECP)方法的MINLP求解器
在AMPL模型系统中使用求解器时与GAMS模型连接
MINLP确定性全局优化
成熟**解决方案的分支和减少优化向导
任意GAMS系统都配备了LP和MIP求解器
实用方便的GAMS求解器和验证方案
COIN-OR MINLP求解器执行各类分支定界和外逼近算法
高性能LP/MIP求解器
大型的NLP求解器
大型的NLP求解器
将模型转换成其他语言的标量模型的框架
(MI)NLP确定性全局优化
高性能LP/MIP求解器
产生和解决包括EMP/SP中的随机规划的确定等价
大规模随机规划求解器
求解MINLP模型框架
检查解点并评估其优点的工具
GAMS求解线性规划问题时对结构和解决方案属性的检查系统
混合整数二次模型分支定界全局优化
高性能LP/MIP求解器
有效解决多个相关模型实例的框架(收集更新分散的求解方案)
大规模非线性规划的内点优化算法
扩展数学规划求解器(包括LogMIP)
本地GAMS系统使用远程NEOS求解器框架
大型NLP求解器
求解器 描述
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