Applications of Combinatorial Optimization (PDF)
(Sprache: Englisch)
Combinatorial optimization is a multidisciplinary scientific area,
lying in the interface of three major scientific domains:
mathematics, theoretical computer science and management. The
three volumes of the Combinatorial Optimization series aim to...
lying in the interface of three major scientific domains:
mathematics, theoretical computer science and management. The
three volumes of the Combinatorial Optimization series aim to...
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Combinatorial optimization is a multidisciplinary scientific area,
lying in the interface of three major scientific domains:
mathematics, theoretical computer science and management. The
three volumes of the Combinatorial Optimization series aim to cover
a wide range of topics in this area. These topics also deal
with fundamental notions and approaches as with several classical
applications of combinatorial optimization.
Concepts of Combinatorial Optimization, is divided into
three parts:
- On the complexity of combinatorial optimization problems,
presenting basics about worst-case and randomized complexity;
- Classical solution methods, presenting the two most-known methods
for solving hard combinatorial optimization problems, that are
Branch-and-Bound and Dynamic Programming;
- Elements from mathematical programming, presenting fundamentals
from mathematical programming based methods that are in the heart
of Operations Research since the origins of this field.
lying in the interface of three major scientific domains:
mathematics, theoretical computer science and management. The
three volumes of the Combinatorial Optimization series aim to cover
a wide range of topics in this area. These topics also deal
with fundamental notions and approaches as with several classical
applications of combinatorial optimization.
Concepts of Combinatorial Optimization, is divided into
three parts:
- On the complexity of combinatorial optimization problems,
presenting basics about worst-case and randomized complexity;
- Classical solution methods, presenting the two most-known methods
for solving hard combinatorial optimization problems, that are
Branch-and-Bound and Dynamic Programming;
- Elements from mathematical programming, presenting fundamentals
from mathematical programming based methods that are in the heart
of Operations Research since the origins of this field.
Autoren-Porträt
Vangelis Paschos is Professor of Computer Science at the University of Paris-Dauphine and Chairman of the LAMSADE (Laboratory for the Modeling and the Analysis of Decision Aiding Systems). His research interests include complexity theory, the theory of the polynomial approximation of NP-hard problems, probabilistic combinatorial optimization and on-line computation. He is the author of more than a 100 research papers and is a member of the editorial board of several international scientific journals.
Bibliographische Angaben
- 2014, 2. Auflage, 448 Seiten, Englisch
- Herausgegeben: Vangelis Th. Paschos
- Verlag: John Wiley & Sons
- ISBN-10: 1119015227
- ISBN-13: 9781119015222
- Erscheinungsdatum: 08.08.2014
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- Grösse: 5.63 MB
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Englisch
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