Optimization via Relaxation and Decomposition

Gonzalo E. Constante-Flores () and Antonio J. Conejo ()
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Gonzalo E. Constante-Flores: Purdue University
Antonio J. Conejo: The Ohio State University

in International Series in Operations Research and Management Science from Springer, currently edited by Camille C. Price, Joe Zhu and Frederick S. Hillier

Date: 2025
ISBN: 978-3-031-87405-5
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Chapters in this book:

Ch Chapter 1 Relaxation and Decomposition

Gonzalo E. Constante-Flores and Antonio J. Conejo

Ch Chapter 2 Simplifying via Reformulation, Approximation, and Relaxation

Gonzalo E. Constante-Flores and Antonio J. Conejo

Ch Chapter 3 Approximating and Relaxing Optimization Problems

Gonzalo E. Constante-Flores and Antonio J. Conejo

Ch Chapter 4 Learning-Assisted Relaxations and Approximations

Gonzalo E. Constante-Flores and Antonio J. Conejo

Ch Chapter 5 Solving Optimization Problems with Complicating Variables

Gonzalo E. Constante-Flores and Antonio J. Conejo

Ch Chapter 6 Solving Optimization Problems via Lagrangian Decomposition

Gonzalo E. Constante-Flores and Antonio J. Conejo

Ch Chapter 7 Relaxations and Decomposition in Power Systems Operations

Gonzalo E. Constante-Flores and Antonio J. Conejo

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DOI: 10.1007/978-3-031-87405-5

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