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This title in other editions

Other titles in the Applied Optimization series:

Modeling Languages in Mathematical Optim

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Modeling Languages in Mathematical Optim Cover

 

Synopses & Reviews

Publisher Comments:

This volume presents a unique combination of modeling andsolving real world optimization problems. It is the only book whichtreats systematically the major modeling languages and systems used tosolve mathematical optimization problems, and it also provides auseful overview and orientation of today's modeling languages inmathematical optimization. It demonstrates the strengths andcharacteristic features of such languages and provides a bridge forresearchers, practitioners and students into a new world: solving realoptimization problems with the most advances modeling systems."Audience: " This volume is suitable for mathematical programmingresearchers, scientists in various disciplines who use optimizationmethods to model and solve problems, operations researchpractitioners, supply chain management consultants and decision makersin the area of tool selection for optimization tasks as well asstudents and graduates in mathematics, science, operations researchand business.

Synopsis:

This volume presents a unique combination of modeling and solving real world optimization problems. It is the only book which treats systematically the major modeling languages and systems used to solve mathematical optimization problems, and it also provides a useful overview and orientation of today's modeling languages in mathematical optimization. It demonstrates the strengths and characteristic features of such languages and provides a bridge for researchers, practitioners and students into a new world: solving real optimization problems with the most advances modeling systems.

Product Details

ISBN:
9781402075476
Author:
Kallrath, Josef
Publisher:
Springer
Location:
Boston, MA
Subject:
Mathematical optimization
Subject:
Programming Languages.
Subject:
Probability & Statistics - General
Subject:
Programming Languages - General
Subject:
Computer Science
Subject:
Programming languages (electronic computers)
Subject:
Computer simulation
Subject:
Applied
Subject:
Mathematical Modeling and Industrial Mathematics
Subject:
OPTIMIZATION
Subject:
Symbolic and Algebraic Manipulation
Subject:
Numeric Computing
Subject:
Programming Languages, Compilers, Interpreters
Subject:
Mathematics | Probability and Statistics
Subject:
Mathematics
Subject:
Language, literature and biography
Subject:
mathematics and statistics
Subject:
Algebra_xData processing
Subject:
Electronic data processing
Copyright:
Edition Description:
Book
Series:
Applied optimization ;
Series Volume:
03-131v. 88
Publication Date:
20040229
Binding:
HARDCOVER
Language:
English
Illustrations:
Yes
Pages:
440
Dimensions:
235 x 155 mm 1750 gr

Related Subjects

Computers and Internet » Computers Reference » General
Computers and Internet » Personal Computers » General
Computers and Internet » Software Engineering » Algorithms
Computers and Internet » Software Engineering » Programming and Languages
Science and Mathematics » Electricity » General Electronics
Science and Mathematics » Mathematics » Applied
Science and Mathematics » Mathematics » Computer
Science and Mathematics » Mathematics » General
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Modeling Languages in Mathematical Optim New Hardcover
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$396.50 In Stock
Product details 440 pages Springer - English 9781402075476 Reviews:
"Synopsis" by , This volume presents a unique combination of modeling and solving real world optimization problems. It is the only book which treats systematically the major modeling languages and systems used to solve mathematical optimization problems, and it also provides a useful overview and orientation of today's modeling languages in mathematical optimization. It demonstrates the strengths and characteristic features of such languages and provides a bridge for researchers, practitioners and students into a new world: solving real optimization problems with the most advances modeling systems.
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