The Quadratic Unconstrained Binary Optimization Problem: Theory, Algorithms, and Applications - Brossura

 
9783031045226: The Quadratic Unconstrained Binary Optimization Problem: Theory, Algorithms, and Applications
Brossura
ISBN 10: 303104522X ISBN 13: 9783031045226
Casa editrice: Springer, 2023

Sinossi

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.



Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

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).

Dalla quarta di copertina

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer
Data di pubblicazione
2023
Lingua
Inglese
ISBN 10 
303104522X
ISBN 13 
9783031045226
Rilegatura
Copertina flessibile
Numero edizione
1
Numero di pagine
336
Redattore
Punnen Abraham P.
Contatto del produttore
non disponibile
Persona responsabile
ProductSafety@springernature.com
ProductSafety@springernature.com

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Darmstadt
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Germania

Altre edizioni note dello stesso titolo

9783031045196: The Quadratic Unconstrained Binary Optimization Problem: Theory, Algorithms, and Applications: 194

Edizione in evidenza

ISBN 10:  303104519X ISBN 13:  9783031045196
Casa editrice: Springer Nature, 2022
Rilegato