Optimization via relaxation and decomposition: applications to large-scale engineering problems

By:

Constante-Flores, Gonzalo E

Contributor(s):

Conejo, Antonio J

Material type: Text

TextPublication details: Cham Springer 2025Description: xvii, 262 pISBN:

9783031874048

Subject(s):

DDC classification:

519.6 CON

Summary: This book offers an up-to-date description of relaxation/approximation and decomposition techniques, demonstrating how their combined use efficiently solves large-scale optimization problems relevant to engineering, particularly in electrical, and industrial engineering, with a focus on energy. Specifically, it presents linear and nonlinear relaxations and approximations that are relevant to optimization problems, introduces complicating constraints and complicating variables decomposition techniques that can take advantage of relaxations and approximations, and examines their applications in the engineering field. Written in an accessible engineering language and filled with numerous illustrative examples and end-of-chapter exercises for all chapters, this book is a valuable resource for advanced undergraduate and graduate students, researchers, and practitioners in power engineering and industrial engineering. Moreover, business students with a keen interest in decision-making problems will also benefit greatly from its practical insights. (https://link.springer.com/book/10.1007/978-3-031-87405-5)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Operations Management & Quantitative Techniques	519.6 CON (Browse shelf(Opens below))	1	Available		009101

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Previous	519.550243 MCD Interrupted time series analysis	519.57 TAB Design and analysis of experiments and observational studies using R	519.6 ANT Practical optimization: algorithms and engineering applications	519.6 CON Optimization via relaxation and decomposition: applications to large-scale engineering problems	519.6 COR Numerical methods and optimization: theory and practice for engineers	519.6 FOX Nonlinear optimization:	519.6 VAN Linear programming: foundations and extensions	Next

Table of contents:
Front Matter
Pages i-xvi
Download chapter PDF
Relaxation and Decomposition
Gonzalo E. Constante-Flores, Antonio J. Conejo
Pages 1-10
Simplifying via Reformulation, Approximation, and Relaxation
Gonzalo E. Constante-Flores, Antonio J. Conejo
Pages 11-44
Approximating and Relaxing Optimization Problems
Gonzalo E. Constante-Flores, Antonio J. Conejo
Pages 45-72
Learning-Assisted Relaxations and Approximations
Gonzalo E. Constante-Flores, Antonio J. Conejo
Pages 73-103
Solving Optimization Problems with Complicating Variables
Gonzalo E. Constante-Flores, Antonio J. Conejo
Pages 105-148
Solving Optimization Problems via Lagrangian Decomposition
Gonzalo E. Constante-Flores, Antonio J. Conejo
Pages 149-192
Relaxations and Decomposition in Power Systems Operations
Gonzalo E. Constante-Flores, Antonio J. Conejo
Pages 193-236

[https://link.springer.com/book/10.1007/978-3-031-87405-5]

This book offers an up-to-date description of relaxation/approximation and decomposition techniques, demonstrating how their combined use efficiently solves large-scale optimization problems relevant to engineering, particularly in electrical, and industrial engineering, with a focus on energy. Specifically, it presents linear and nonlinear relaxations and approximations that are relevant to optimization problems, introduces complicating constraints and complicating variables decomposition techniques that can take advantage of relaxations and approximations, and examines their applications in the engineering field.

Written in an accessible engineering language and filled with numerous illustrative examples and end-of-chapter exercises for all chapters, this book is a valuable resource for advanced undergraduate and graduate students, researchers, and practitioners in power engineering and industrial engineering. Moreover, business students with a keen interest in decision-making problems will also benefit greatly from its practical insights.

(https://link.springer.com/book/10.1007/978-3-031-87405-5)

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