Decision-making is a critical aspect of operations research, and one of the key tools used in this field is optimization. Ronald L. Rardin’s book, “Optimization in Operations Research, Second Edition,” is a valuable resource that provides insights into optimization modeling and analysis. This edition aims to make optimization techniques more accessible to a wide range of readers, including advanced undergraduate and beginning graduate students, researchers, and practitioners in the field.
Key Details:
- ISBN-10: 0134384555
- ISBN-13: 978-0134384559
Overview:
Rardin’s “Optimization in Operations Research” aims to enhance the understanding of optimization modeling and analysis by providing practical insights and intuitive explanations. The book covers various aspects of optimization, including linear, integer, nonlinear, group, and dynamic programming models and algorithms in both single and multiobjective contexts. In this second edition, new materials on large-scale, stochastic, and complexity issues have been included, while maintaining a balance between mathematical rigor and intuitive explanations.
The author emphasizes the importance of creating experiences and intuitions that students and practitioners can apply in real-world settings. By presenting each algorithm and analytic theory within the context of a story, and by incorporating computational exercises that start with a formulation step, Rardin makes optimization concepts engaging and accessible to readers with diverse backgrounds.
FAQs (Frequently Asked Questions):
Q: Who is the target audience for “Optimization in Operations Research 2nd Edition”?
A: The book is designed for advanced undergraduate and beginning graduate students, researchers, and practitioners who wish to enhance their understanding of optimization modeling and analysis.
Q: What topics are covered in the book?
A: The book covers a wide range of optimization topics, including linear, integer, nonlinear, group, and dynamic programming models and algorithms, as well as large-scale, stochastic, and complexity issues.
Q: How does the book make optimization concepts more accessible?
A: The author uses intuitive explanations, practical examples, and computational exercises to help readers develop a deeper understanding of optimization concepts and their applications.
Conclusion:
“Optimization in Operations Research, Second Edition” by Ronald L. Rardin is a comprehensive guide that provides a solid foundation in optimization modeling and analysis. Whether you are a student, researcher, or practitioner in the field of operations research, this book serves as a valuable resource for enhancing your knowledge and practical skills in optimization. With its accessible approach and insightful explanations, this book is an essential tool for anyone looking to delve deeper into the world of optimization.
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