Applied Integer Programming (PDF)
Modeling and Solution
(Sprache: Englisch)
An accessible treatment of the modeling and solution of integer
programming problems, featuring modern applications and
software
In order to fully comprehend the algorithms associated with
integer programming, it is important to understand not...
programming problems, featuring modern applications and
software
In order to fully comprehend the algorithms associated with
integer programming, it is important to understand not...
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An accessible treatment of the modeling and solution of integer
programming problems, featuring modern applications and
software
In order to fully comprehend the algorithms associated with
integer programming, it is important to understand not only
how algorithms work, but also why they work.
Applied Integer Programming features a unique emphasis on
this point, focusing on problem modeling and solution using
commercial software. Taking an application-oriented approach, this
book addresses the art and science of mathematical modeling related
to the mixed integer programming (MIP) framework and discusses the
algorithms and associated practices that enable those models to be
solved most efficiently.
The book begins with coverage of successful applications,
systematic modeling procedures, typical model types, transformation
of non-MIP models, combinatorial optimization problem models, and
automatic preprocessing to obtain a better formulation. Subsequent
chapters present algebraic and geometric basic concepts of linear
programming theory and network flows needed for understanding
integer programming. Finally, the book concludes with classical and
modern solution approaches as well as the key components for
building an integrated software system capable of solving
large-scale integer programming and combinatorial optimization
problems.
Throughout the book, the authors demonstrate essential concepts
through numerous examples and figures. Each new concept or
algorithm is accompanied by a numerical example, and, where
applicable, graphics are used to draw together diverse problems or
approaches into a unified whole. In addition, features of solution
approaches found in today's commercial software are identified
throughout the book.
Thoroughly classroom-tested, Applied Integer Programming
is an excellent book for integer programming courses at the
upper-undergraduate and graduate levels. It also serves as a
well-organized reference for professionals, software developers,
and analysts who work in the fields of applied mathematics,
computer science, operations research, management science, and
engineering and use integer-programming techniques to model and
solve real-world optimization problems.
programming problems, featuring modern applications and
software
In order to fully comprehend the algorithms associated with
integer programming, it is important to understand not only
how algorithms work, but also why they work.
Applied Integer Programming features a unique emphasis on
this point, focusing on problem modeling and solution using
commercial software. Taking an application-oriented approach, this
book addresses the art and science of mathematical modeling related
to the mixed integer programming (MIP) framework and discusses the
algorithms and associated practices that enable those models to be
solved most efficiently.
The book begins with coverage of successful applications,
systematic modeling procedures, typical model types, transformation
of non-MIP models, combinatorial optimization problem models, and
automatic preprocessing to obtain a better formulation. Subsequent
chapters present algebraic and geometric basic concepts of linear
programming theory and network flows needed for understanding
integer programming. Finally, the book concludes with classical and
modern solution approaches as well as the key components for
building an integrated software system capable of solving
large-scale integer programming and combinatorial optimization
problems.
Throughout the book, the authors demonstrate essential concepts
through numerous examples and figures. Each new concept or
algorithm is accompanied by a numerical example, and, where
applicable, graphics are used to draw together diverse problems or
approaches into a unified whole. In addition, features of solution
approaches found in today's commercial software are identified
throughout the book.
Thoroughly classroom-tested, Applied Integer Programming
is an excellent book for integer programming courses at the
upper-undergraduate and graduate levels. It also serves as a
well-organized reference for professionals, software developers,
and analysts who work in the fields of applied mathematics,
computer science, operations research, management science, and
engineering and use integer-programming techniques to model and
solve real-world optimization problems.
Autoren-Porträt von Der-San Chen, Robert G. Batson, Yu Dang
Der-San Chen, PhD, is Professor Emeritus in the Departmentof Industrial Engineering at The University of Alabama. He has over
thirty years of academic and consulting experience on the
applications of linear programming, integer programming,
optimization, and decision support systems. Dr. Chen currently
focuses his research on modeling optimization problems arising in
production, transportation, distribution, supply chain management,
and the application of optimization and statistical software for
problem solving.
Robert G. Batson, PhD, PE, is Professor of Construction
Engineering at The University of Alabama, where he is also Director
of Industrial Engineering Programs. A Fellow of the American
Society for Quality Control, Dr. Batson has written numerous
journal articles in his areas of research interest, which include
operations research, applied statistics, and supply chain
management.
Yu Dang, PhD, is Qualitative Manufacturing Analyst at
Quickparts.com, a manufacturing services company that provides
customers with an online e-commerce system to procure custom
manufactured parts. She received her PhD in operations management
from The University of Alabama in 2004.
Bibliographische Angaben
- Autoren: Der-San Chen , Robert G. Batson , Yu Dang
- 2011, 1. Auflage, 488 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1118165993
- ISBN-13: 9781118165997
- Erscheinungsdatum: 09.09.2011
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- Größe: 17 MB
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Sprache:
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