Best Books on Optimization Models

We have compiled a list of the Best Reference Books on Optimization Models, which are used by students of top universities, and colleges. This will help you choose the right book depending on if you are a beginner or an expert. Here is the complete list of Optimization Models Books with their authors, publishers, and an unbiased review of them as well as links to the Amazon website to directly purchase them. If permissible, you can also download the free PDF books on Optimization Models below.

1."Optimization Concepts and Applications in Engineering" by Ashok D Belegundu and Tirupathi R Chandrupatla
Book Review: This book highlights the crucial importance of integrating theory, modeling, numerical method development, and problem-solving skills, enabling students to apply optimization techniques to real-world problems. It covers a wide range of optimization problems, employing various approaches including gradient, non-gradient, duality, linear, geometric, integer, dynamic programming, and finite element-based optimization. The book also provides numerous solved examples and exercises at the end of each chapter, accompanied by detailed explanations. It is well-suited for graduate and undergraduate courses in all engineering disciplines, offering valuable insights and practical applications in optimization.

2."Fuzzy Stochastic Optimization: Theory, Models and Applications" by Shuming Wang Junzo Watada
“Fuzzy Stochastic Optimization: Theory, Models and Applications” Book Review: This book encompasses both theoretical and practical aspects of fuzzy random variables and fuzzy stochastic optimization models. It begins by providing an introduction to fuzzy stochastic optimization, tracing its historical background and the evolution of fuzzy random variables. The mathematical foundations of fuzzy random variables are explored in depth. As the book progresses into the realm of system design, it delves into various optimization models and their applications in stochastic optimization. Numerous real-life case studies and applications of fuzzy random variables and fuzzy stochastic optimization models are incorporated, enriching the reader’s understanding of the subject matter.

3."Optimal Control Models in Finance: A New Computational Approach" by Ping Chen
“Optimal Control Models in Finance: A New Computational Approach” Book Review: This book is a valuable resource for students, academics, professionals, and practitioners in the fields of finance, mathematical economics, optimal control, and computer programming. It provides a comprehensive exploration of financial modeling, covering the fundamental concepts and useful extensions. The book specifically focuses on optimal control models for corporate finance and the economy. It introduces the development of computational methods and introduces a novel computer program called CSTVA (Computer Program for the Switching Time Variables Algorithm). The book also examines the optimal financing implications derived from the model results and analyzes the impact of changes in financing policies on optimal financial strategies. Furthermore, it identifies potential areas for further research and study in the field of financial modeling.

4."Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications" by Zhening Li
“Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications” Book review: This book is a comprehensive and up-to-date resource that provides a well-structured exploration of polynomial optimization models, including important subclasses, approximation algorithms, and diverse applications. It offers an in-depth analysis of the worst-case performance of these models, shedding light on their practical implications. The book covers fundamental ideas and concepts in algorithm design, equipping readers with a solid foundation. Through illustrative examples and real-life applications, it underscores the significance and practical utility of optimization models. This book is particularly valuable for researchers and graduate students in the fields of optimization, computational mathematics, operations research, industrial engineering, and computer science, offering valuable insights and knowledge for further study and application.

We have put a lot of effort into researching the best books on Optimization Models and came out with a recommended list and their reviews. If any more book needs to be added to this list, please email us. We are working on free pdf downloads for books on Optimization Models and will publish the download link here. Fill out this Optimization Models books pdf download" request form for download notification.

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