Description

Book Synopsis

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.



Table of Contents
Preface xvii

Vangelis Th. Paschos

Part I Paradigmatic Problems 1

Chapter 1 Optimal Satisfiability 3
Cristina Bazgan

Chapter 2 Scheduling Problems 33
Philippe Chrétienne and Christophe Picouleau

Chapter 3 Location Problems 61
Aristotelis Giannakos

Chapter 4 MiniMax Algorithms and Games 89
Michel Koskas

Chapter 5 Two-dimensional Bin Packing Problems 107
Andrea Lodi, Silvano Martello, Michele Monaci and Daniele Vigo

Chapter 6 The Maximum Cut Problem 131
Walid Ben-Ameur, Ali Ridha Mahjoub and José Neto

Chapter 7 The Traveling Salesman Problem and its Variations 173
Jérôme Monnot and Sophie Toulouse

Chapter 8 0-1 Knapsack Problems 215
Gerard Plateau and Anass Nagih

Chapter 9 Integer Quadratic Knapsack Problems 243
Dominique Quadri, Eric Soutif and Pierre Tolla

Chapter 10 Graph Coloring Problems 265
Dominique De Werra and Daniel Kobler

Part II New Approaches 311

Chapter 11 Polynomial Approximation 313
Marc Demange and Vangelis Th. Paschos

Chapter 12 Approximation Preserving Reductions 351
Giorgio Ausiello and Vangelis Th. Paschos

Chapter 13 Inapproximability of Combinatorial Optimization Problems 381
Luca Trevisan

Chapter 14 Local Search: Complexity and Approximation 435
Eric Angel, Petros Christopoulos and Vassilis Zissimopoulos

Chapter 15 On-line Algorithms 473
Giorgio Ausiello and Luca Becchetti

Chapter 16 Polynomial Approximation for Multicriteria Combinatorial Optimization Problems 511
Eric Angel, Evripidis Bampis and Laurent Gourves

Chapter 17 An Introduction to Inverse Combinatorial Problems 547
Marc Demange and Jérôme Monnot

Chapter 18 Probabilistic Combinatorial Optimization 587
Cecile Murat and Vangelis Th. Paschos

Chapter 19 Robust Shortest Path Problems 615
Virginie Gabrel and Cécile Murat

Chapter 20 Algorithmic Games 641
Aristotelis Giannakos and Bangelis Paschos

Chapter 21 Combinatorial Optimization with Competing Agents 675
Diodato Ferraioli, Laurent Gourvès, Stefano Moretti, Fanny Pascual and Olivier Spanjaard

General Bibliography 707

List of Authors 767

Index 773

Summary of Other Volumes in the Series 781

Paradigms of Combinatorial Optimization: Problems

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      View other formats and editions of Paradigms of Combinatorial Optimization: Problems by Vangelis Th. Paschos

      Publisher: ISTE Ltd and John Wiley & Sons Inc
      Publication Date: Publication Date: 29/07/2014
      ISBN13: 9781848216570, 978-1848216570
      ISBN10: 1848216572

      Description

      Book Synopsis

      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.



      Table of Contents
      Preface xvii

      Vangelis Th. Paschos

      Part I Paradigmatic Problems 1

      Chapter 1 Optimal Satisfiability 3
      Cristina Bazgan

      Chapter 2 Scheduling Problems 33
      Philippe Chrétienne and Christophe Picouleau

      Chapter 3 Location Problems 61
      Aristotelis Giannakos

      Chapter 4 MiniMax Algorithms and Games 89
      Michel Koskas

      Chapter 5 Two-dimensional Bin Packing Problems 107
      Andrea Lodi, Silvano Martello, Michele Monaci and Daniele Vigo

      Chapter 6 The Maximum Cut Problem 131
      Walid Ben-Ameur, Ali Ridha Mahjoub and José Neto

      Chapter 7 The Traveling Salesman Problem and its Variations 173
      Jérôme Monnot and Sophie Toulouse

      Chapter 8 0-1 Knapsack Problems 215
      Gerard Plateau and Anass Nagih

      Chapter 9 Integer Quadratic Knapsack Problems 243
      Dominique Quadri, Eric Soutif and Pierre Tolla

      Chapter 10 Graph Coloring Problems 265
      Dominique De Werra and Daniel Kobler

      Part II New Approaches 311

      Chapter 11 Polynomial Approximation 313
      Marc Demange and Vangelis Th. Paschos

      Chapter 12 Approximation Preserving Reductions 351
      Giorgio Ausiello and Vangelis Th. Paschos

      Chapter 13 Inapproximability of Combinatorial Optimization Problems 381
      Luca Trevisan

      Chapter 14 Local Search: Complexity and Approximation 435
      Eric Angel, Petros Christopoulos and Vassilis Zissimopoulos

      Chapter 15 On-line Algorithms 473
      Giorgio Ausiello and Luca Becchetti

      Chapter 16 Polynomial Approximation for Multicriteria Combinatorial Optimization Problems 511
      Eric Angel, Evripidis Bampis and Laurent Gourves

      Chapter 17 An Introduction to Inverse Combinatorial Problems 547
      Marc Demange and Jérôme Monnot

      Chapter 18 Probabilistic Combinatorial Optimization 587
      Cecile Murat and Vangelis Th. Paschos

      Chapter 19 Robust Shortest Path Problems 615
      Virginie Gabrel and Cécile Murat

      Chapter 20 Algorithmic Games 641
      Aristotelis Giannakos and Bangelis Paschos

      Chapter 21 Combinatorial Optimization with Competing Agents 675
      Diodato Ferraioli, Laurent Gourvès, Stefano Moretti, Fanny Pascual and Olivier Spanjaard

      General Bibliography 707

      List of Authors 767

      Index 773

      Summary of Other Volumes in the Series 781

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