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Optimization Techniques - Theory and Practice (1st ed. 2023)
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Optimization Techniques - Theory and Practice (1st ed. 2023)
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This book explores recent developments and exciting challenges in
operations research and mathematical optimization. It provides the
following in a unified and carefully developed presentation: (a)
novel problems that have arisen in the real-life optimization
domain, highlighting the challenges in each problem; (b)
significant methodological advances for solving existing
optimization problems, with a special emphasis on large scale
problems. The book assumes a decent understanding of matrix
algebra, linear and integer programming, non-linear programming,
computational complexity, and graph theory. Each chapter in this
book starts with an introduction to the underlying optimization
technique. It then explores a real-life case study to which the
technique will be applied. The objective is to demonstrate how the
underlying technique can be utilized to solve a challenging
problem. The chapters offer details on how to formulate a research
problem into a formal optimization model, reformulate or transform
it (if required) to improve computational tractability, and apply
necessary customizations to the optimization technique specific to
the underlying problem to derive an optimal or near-optimal
solution. The book covers various state-of-the-art methods (both
exact and heuristics) and modelling approaches in sync with the
current research trends, which are still not discussed in typical
graduate-level textbooks. Applications covered in the book span the
realms of resource planning, telecommunications, scheduling,
logistics, education, environmental conservation, and many others.
It is thus a valuable resource for post-graduate students of
operations research and mathematical optimization. It also serves
as a valuable reference for researchers who wish to explore various
optimization techniques as part of their research methodologies.
The learning from the book should enable the professionals to apply
optimization theory and algorithms to their particular field of
interest.
General
Imprint: |
Springer Verlag, Singapore
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Country of origin: |
Singapore |
Release date: |
November 2023 |
First published: |
2023 |
Editors: |
Faiz Hamid
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Dimensions: |
235 x 155mm (L x W) |
Pages: |
300 |
Edition: |
1st ed. 2023 |
ISBN-13: |
978-981-9954-90-2 |
Categories: |
Books
Promotions
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LSN: |
981-9954-90-8 |
Barcode: |
9789819954902 |
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