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Building and Solving Mathematical Programming Models: 50 Practical Examples: International Series in Operations Research & Management Science, cartea 329

Autor José Manuel García Sánchez
en Limba Engleză Paperback – 14 mai 2023
This book presents the construction and resolution of 50 practical optimization problems and covers an exceptionally wide range, including games-associated problems (Unblock Me, Sudokus), logistical problems, and problems concerning plant distribution, production, operations scheduling, management and resource allocation.
The problems are divided into 5 difficulty levels. Problems in the first few levels are focused on learning the model construction methodology, while those in the last level include complex optimization environments. For each problem solution, the specific steps are illustrated, promoting reader comprehension.
In addition, all the models are implemented in an optimization library, LINGO, their solutions have been analyzed and their correct construction has been verified. The book also includes a simple guide to implementing models in LINGO in a straightforward manner and in any input data format (text files, spreadsheets or databases).
As anideal companion to the author’s previously published work Modelling in Mathematical Programming, the book is intended as a basic tool for students of operations research, and for researchers in any advanced area involving mathematical programming.
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Specificații

ISBN-13: 9783030976286
ISBN-10: 3030976289
Pagini: 401
Ilustrații: XI, 401 p. 105 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.58 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria International Series in Operations Research & Management Science

Locul publicării:Cham, Switzerland

Cuprins

1. Introduction to Modeling Methodology.- 2. Building and Solving Models with LINGO.- 3. Low-Level Problems.- 4. Low-Medium Level Problems.- 5. Medium Level Problems.- 6. Medium-High Level Problems.- 7. High-Level Problems. 

Recenzii

“The book shows through 50 examples how practical problems can be modelled as optimization problems and how these optimization problems can be implemented and solved in the optimization library LINGO. It is intended as a companion to the author’s book … .” (Florian Mannel, zbMATH 1516.90001, 2023)

Notă biografică

José Manuel García Sánchez is an Associate Professor at the Department of Industrial Organization and Business Management, Higher Technical School of Engineering, University of Seville, Spain. His research interests include Optimization, Scheduling, Mathematical Programming, Production Management, Statistics and Operations Research, Metaheuristic Techniques, and Modelling of Mathematical Programming.

Textul de pe ultima copertă

This book presents the construction and resolution of 50 practical optimization problems and covers an exceptionally wide range, including games-associated problems (Unblock Me, Sudokus), logistical problems, and problems concerning plant distribution, production, operations scheduling, management and resource allocation.
The problems are divided into 5 difficulty levels. Problems in the first few levels are focused on learning the model construction methodology, while those in the last level include complex optimization environments. For each problem solution, the specific steps are illustrated, promoting reader comprehension.
In addition, all the models are implemented in an optimization library, LINGO, their solutions have been analyzed and their correct construction has been verified. The book also includes a simple guide to implementing models in LINGO in a straightforward manner and in any input data format (text files, spreadsheets or databases).
As an idealcompanion to the author’s previously published work Modelling in Mathematical Programming, the book is intended as a basic tool for students of operations research, and for researchers in any advanced area involving mathematical programming.

Caracteristici

Presents a wide range of practical optimization problems and their solutions Divides problems into 5 difficulty levels to help understanding Demonstrates the implementation in one optimization library, LINGO