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The quadratic unconstrained binary o...

Punnen, Abraham P.

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The quadratic unconstrained binary optimization problem = theory, algorithms, and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The quadratic unconstrained binary optimization problem/ edited by Abraham P. Punnen.
其他題名:	theory, algorithms, and applications /
其他作者:	Punnen, Abraham P.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xiii, 319 p. :ill., digital ;24 cm.
內容註:	Introduction to QUBO -- Applications and Computational Advances for Solving the QUBO Model -- Complexity and Polynomially Solvable Special Cases of QUBO -- The Boolean Quadric Polytope -- Autarkies and Persistencies for QUBO -- Mathematical Programming Models and Exact Algorithms -- The Random QUBO -- Fast Heuristics and Approximation Algorithms -- Metaheuristic Algorithms -- The Bipartite QUBO -- QUBO Software.
Contained By:	Springer Nature eBook
標題:	Mathematical optimization. -
電子資源:	https://doi.org/10.1007/978-3-031-04520-2
ISBN:	9783031045202

The quadratic unconstrained binary optimization problem = theory, algorithms, and applications /
The quadratic unconstrained binary optimization problemtheory, algorithms, and applications /[electronic resource] :edited by Abraham P. Punnen. - Cham :Springer International Publishing :2022. - xiii, 319 p. :ill., digital ;24 cm.

Introduction to QUBO -- Applications and Computational Advances for Solving the QUBO Model -- Complexity and Polynomially Solvable Special Cases of QUBO -- The Boolean Quadric Polytope -- Autarkies and Persistencies for QUBO -- Mathematical Programming Models and Exact Algorithms -- The Random QUBO -- Fast Heuristics and Approximation Algorithms -- Metaheuristic Algorithms -- The Bipartite QUBO -- QUBO Software.

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.

ISBN: 9783031045202

Standard No.: 10.1007/978-3-031-04520-2doiSubjects--Topical Terms:

517763
Mathematical optimization.

LC Class. No.: QA402.5 / .Q83 2022

Dewey Class. No.: 519.6

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505 0 $a Introduction to QUBO -- Applications and Computational Advances for Solving the QUBO Model -- Complexity and Polynomially Solvable Special Cases of QUBO -- The Boolean Quadric Polytope -- Autarkies and Persistencies for QUBO -- Mathematical Programming Models and Exact Algorithms -- The Random QUBO -- Fast Heuristics and Approximation Algorithms -- Metaheuristic Algorithms -- The Bipartite QUBO -- QUBO Software.
520 $a 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.
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