The Quadratic Unconstrained Binary Optimization Problem | Theory, Algorithms, and Applications

Abraham P. Punnen

ISBN 10: 303104522X / ISBN 13: 9783031045226

Published by Springer Nature Switzerland, 2023

About this Item

The Quadratic Unconstrained Binary Optimization Problem | Theory, Algorithms, and Applications | Abraham P. Punnen | Taschenbuch | xiii | Englisch | 2023 | Springer Nature Switzerland | EAN 9783031045226 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

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Bibliographic Details

• Title: The Quadratic Unconstrained Binary Optimization Problem | Theory, Algorithms, and Applications
• Publisher: Springer Nature Switzerland
• Publication Date: 2023
• Language: English
• ISBN 10: 303104522X
• ISBN 13: 9783031045226
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 19D millimeters 235 millimeters width by 155 millimeters height by 19 millimeters depth
• Weight: 511 grams
• Seller catalogs:
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About this title

Synopsis

The quadratic binary optimization problem (QUBO) is a versatile combinatorial optimization model with a variety of applications and rich theoretical properties. Application areas of the model include finance, cluster analysis, traffic management, machine scheduling, VLSI physical design, physics, quantum computing, engineering, and medicine. In addition, various mathematical optimization models can be reformulated as a QUBO, including the resource constrained assignment problem, set partitioning problem, maximum cut problem, quadratic assignment problem, the bipartite unconstrained binary optimization problem, among others.

This book presents a systematic development of theory, algorithms, and applications of QUBO. It offers a comprehensive treatment of QUBO from various viewpoints, including a historical introduction along with an in-depth discussion of applications modelling, complexity and polynomially solvable special cases, exact and heuristic algorithms, analysis of approximation algorithms, metaheuristics, polyhedral structure, probabilistic analysis, persistencies, and related topics. Available software for solving QUBO is also introduced, including public domain, commercial, as well as quantum computing based codes.

About the Author

Abraham P. Punnen is a professor in the department of Mathematics at Simon Fraser University, Burnaby, Canada. His primary research interest is in combinatorial optimization and published extensively in this area. He, jointly with G. Gutin, edited the popular book "The Traveling Salesman Problem and Its Variations" (Springer, 2007).