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OsiMosek
OsiXpress
PATHNLP
PATH
PYOMO
SBB
SCIP 3.2
SNOPT
SOPLEX 2.2
XA
XPRESS 28.01
全局--局部非线性优化求解套件
随机求解器,包括一个无限制版本的LINDOGLOBAL
成熟全局解决方案的MINLP求解器
在LINGO模型系统中使用求解器求解GAMS模型的链接
混合邻域搜索算法
GAMS线性回归求解器
MCP求解器
NLP求解器
大型LP/MIP加锥凸非线性规划系统
全局优化的多启动方法
使用其他GAMS NLP求解器把MPEC转换成NLP
全局优化的多头启动方法
Bare-Bone与CPLEX连接
Bare-Bone 与Gurobi连接
Bare-Bone与 Mosek 连接
Bare-Bone与 Xpress 连接
凸面问题的大规模NLP求解器
大规模MCP求解器
在PYOMO模型系统中使用求解器求解GAMS模型的链接
求解MINLP模型的分支定界算法
高性能约束整数规划求解器
基于NLP求解器的大规模SQP算法
高性能LP求解器
大规模LP/MIP求解器
高性能LP/MIP求解器
GAMS
GAMS Summation (and Product) Notation
Before going into equation definition we describe the summation notation in GAMS. Remember that GAMS is designed for
standard keyboards and line-by-line input readers, so it is not possible (nor would it be convenient for the user) to employ the
standard mathematical notation for summations.
The summation notation in GAMS can be used for simple and complex expressions. The format is based on the idea of always
thinking of a summation as an operator with two arguments: Sum(index of summation, summand) A comma separates
the two arguments, and if the first argument requires a comma then it should be in parentheses. The second argument can be
any mathematical expression including another summation.
As a simple example, the transportation problem contains the expression
Model Library
When architects begin to design a new building, they develop the new structure by using ideas and techniques that have been
tested in previous structures. The same is true in other fields: design elements from previous projects serve as sources of
ideas for new developments.
From the early stages of the development of GAMS we have collected models to be used in a library of examples. Many of
these are standard textbook examples and can be used in classes on problem formulation or to illustrate points about GAMS.
Others are models that have been used in policy or sector analysis and are interesting for both the methods and the data they
use. All the substantive models in the library are described in the open literature. A collection of models is now included
with all GAMS systems, along with a database to help users locate examples that cover countries, sectors, or topics of interest
to them.
The syntax used to introduce features in the various chapters are presented using the Backus-Naur form (BNF) notation
where:
Documentation
The GAMS model representation is in a form that can be easily read by people and by computers. This means that the GAMS
program itself is the documentation of the model, and that the separate description required in the past (which was a burden to
maintain, and which was seldom up-to-date) is no longer needed. Moreover, the design of GAMS incorporates the following
features that specifically address the user's documentation needs:
• A GAMS model representation is concise, and makes full use of the elegance of the mathematical representation.
• All data transformations are specified concisely and algebraically. This means that all data can be entered in their
most elemental form and that all transformations made in constructing the model and in reporting are available for
inspection.
• Explanatory text can be made part of the definition of all symbols and is reproduced whenever associated values are
displayed.
• All information needed to understand the model is in one document.
Of course some discipline is needed to take full advantage of these design features, but the aim is to make models more
accessible, more understandable, more verifiable, and hence more credible.
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