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An Introduction to Robust Combinatorial Optimization: Concepts, Models and Algorithms for Decision Making under Uncertainty (International Series in Operations Research & Management Science, 361) - Hardcover

 
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  • PublisherSpringer
  • Publication date2024
  • ISBN 10 3031612604
  • ISBN 13 9783031612602
  • BindingHardcover
  • LanguageEnglish
  • Number of pages320

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Marc Goerigk
Published by Springer, 2024
ISBN 10: 3031612604 ISBN 13: 9783031612602
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Goerigk, Marc; Hartisch, Michael
Published by Springer, 2024
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Goerigk, Marc; Hartisch, Michael
Published by Springer, 2024
ISBN 10: 3031612604 ISBN 13: 9783031612602
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Goerigk, Marc; Hartisch, Michael
Published by Springer, 2024
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Marc Goerigk
ISBN 10: 3031612604 ISBN 13: 9783031612602
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Hardcover. Condition: new. Hardcover. This book offers a self-contained introduction to the world of robust combinatorial optimization. It explores decision-making using the min-max and min-max regret criteria, while also delving into the two-stage and recoverable robust optimization paradigms. It begins by introducing readers to general results for interval, discrete, and budgeted uncertainty sets, and subsequently provides a comprehensive examination of specific combinatorial problems, including the selection, shortest path, spanning tree, assignment, knapsack, and traveling salesperson problems.The book equips both students and newcomers to the field with a grasp of the fundamental questions and ongoing advancements in robust optimization. Based on the authors years of teaching and refining numerous courses, it not only offers essential tools but also highlights the open questions that define this subject area. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9783031612602

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ISBN 10: 3031612604 ISBN 13: 9783031612602
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book offers a self-contained introduction to the world of robust combinatorial optimization. It explores decision-making using the min-max and min-max regret criteria, while also delving into the two-stage and recoverable robust optimization paradigms. It begins by introducing readers to general results for interval, discrete, and budgeted uncertainty sets, and subsequently provides a comprehensive examination of specific combinatorial problems, including the selection, shortest path, spanning tree, assignment, knapsack, and traveling salesperson problems.The book equips both students and newcomers to the field with a grasp of the fundamental questions and ongoing advancements in robust optimization. Based on the authors' years of teaching and refining numerous courses, it not only offers essential tools but also highlights the open questions that define this subject area. 320 pp. Englisch. Seller Inventory # 9783031612602

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Goerigk, Marc|Hartisch, Michael
ISBN 10: 3031612604 ISBN 13: 9783031612602
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book offers a self-contained introduction to the world of robust combinatorial optimization. It explores decision-making using the min-max and min-max regret criteria, while also delving into the two-stage and recoverable robust optimization paradig. Seller Inventory # 1592583186

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Michael Hartisch
ISBN 10: 3031612604 ISBN 13: 9783031612602
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a self-contained introduction to the world of robust combinatorial optimization. It explores decision-making using the min-max and min-max regret criteria, while also delving into the two-stage and recoverable robust optimization paradigms. It begins by introducing readers to general results for interval, discrete, and budgeted uncertainty sets, and subsequently provides a comprehensive examination of specific combinatorial problems, including the selection, shortest path, spanning tree, assignment, knapsack, and traveling salesperson problems.The book equips both students and newcomers to the field with a grasp of the fundamental questions and ongoing advancements in robust optimization. Based on the authors' years of teaching and refining numerous courses, it not only offers essential tools but also highlights the open questions that define this subject area. Seller Inventory # 9783031612602

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Goerigk, Marc/ Hartisch, Michael
Published by Springer Nature, 2024
ISBN 10: 3031612604 ISBN 13: 9783031612602
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