Ronald L. Rardin’s “Optimization in Operations Research, Second Edition” is a comprehensive guide that serves as a decision handbook for those delving into optimization in the field of operations research. Building on the success of its predecessor, this edition aims to make optimization modeling and analysis more accessible to a wider audience, ranging from advanced undergraduate and beginning graduate students to researchers and practitioners.
The book delves into various optimization models and algorithms, covering a wide range of topics including linear, integer, nonlinear, group, and dynamic programming in single and multiobjective contexts. With the addition of new materials on large-scale, stochastic, and complexity issues, the second edition deepens mathematical rigor while maintaining an intuitive approach to the subject matter.
Rardin’s approach emphasizes the development of skills and intuition that can be applied in real-world scenarios and future coursework. By incorporating practical examples and engaging narratives, the book strives to make optimization concepts both understandable and exciting for readers from diverse backgrounds.
Key Details:
– ISBN-10: 0134384555
– ISBN-13: 978-0134384559
Highlights of the Second Edition:
– Enhanced accessibility of optimization tools
– Coverage of a wide scope of optimization models and algorithms
– Introduction to new topics such as large-scale, stochastic, and complexity issues
– Emphasis on developing practical skills and intuition in optimization
Who Should Read It:
– Advanced undergraduate and beginning graduate students
– Researchers in operations research and related fields
– Practicing professionals seeking a reference for self-study
**FAQs (Frequently Asked Questions)**
**1. Is this book suitable for beginners in Operations Research?**
Yes, the second edition of “Optimization in Operations Research” is designed to be accessible to advanced undergraduate and beginning graduate students, as well as working practitioners looking to enhance their knowledge.
**2. Are there practical examples and exercises included in the book?**
Yes, the book includes computational exercises that often start with a formulation step and each algorithm is presented in the context of a short story, making the content more engaging and easier to understand.
**3. What topics are covered in the second edition that were not present in the first edition?**
The second edition introduces new materials on large-scale, stochastic, and complexity issues, expanding the scope of optimization concepts covered in the book.
**Conclusion:**
“Optimization in Operations Research, Second Edition” by Ronald L. Rardin provides a comprehensive and accessible guide to the principles and applications of optimization modeling and analysis. Whether you are a student, researcher, or practitioner in the field of operations research, this book offers valuable insights and practical tools to enhance your understanding of optimization techniques.
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