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Network Flows: Theory, Algorithms, and Applications,Used
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A comprehensive introduction to network flows that brings together the classic and the contemporary aspects of the field, and provides an integrative view of theory, algorithms, and applications.presents indepth, selfcontained treatments of shortest path, maximum flow, and minimum cost flow problems, including descriptions of polynomialtime algorithms for these core models. emphasizes powerful algorithmic strategies and analysis tools such as data scaling, geometric improvement arguments, and potential function arguments. provides an easytounderstand descriptions of several important data structures, including dheaps, Fibonacci heaps, and dynamic trees. devotes a special chapter to conducting empirical testing of algorithms. features over 150 applications of network flows to a variety of engineering, management, and scientific domains. contains extensive reference notes and illustrations.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: How many pages does this book have? A: This book has eight hundred sixty-four pages. It provides a comprehensive overview of network flows and related algorithms.
- Q: What are the dimensions of this book? A: The dimensions are seven point four inches by two point zero one inches by nine point three inches. These measurements make it a standard hardcover book size.
- Q: What is the binding type of this book? A: This book is a hardcover edition. The hardcover binding offers durability and a professional appearance.
- Q: Who is the author of this book? A: The author is Ravindra Ahuja. He is known for his expertise in network flows and algorithm analysis.
- Q: What is the main subject of this book? A: The main subject is network flows. It covers both theoretical and practical aspects, focusing on algorithms and applications.
- Q: What kind of algorithms are discussed in this book? A: The book discusses polynomial-time algorithms for shortest path, maximum flow, and minimum cost flow problems. These are essential in network optimization.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners. It presents in-depth, self-contained treatments that are easy to understand.
- Q: Can this book help with empirical testing of algorithms? A: Yes, it devotes a special chapter to conducting empirical testing of algorithms. This is beneficial for practical understanding.
- Q: Are there any illustrations in this book? A: Yes, the book contains extensive illustrations. These visuals aid in the understanding of complex concepts.
- Q: How many applications of network flows are featured? A: There are over one hundred fifty applications featured in this book. They span various fields, including engineering and management.
- Q: What data structures are explained in this book? A: The book explains several important data structures, including d-heaps, Fibonacci heaps, and dynamic trees. These are crucial for algorithm efficiency.
- Q: What is the main audience for this book? A: The main audience includes students and professionals in engineering and computer science. It serves those interested in decision-making and problem solving.
- Q: Does this book include reference notes? A: Yes, it contains extensive reference notes. These notes provide additional context and resources for further study.
- Q: Is this book focused more on theory or application? A: The book balances both theory and application. It integrates theoretical concepts with practical implementations in various fields.
- Q: What is the primary focus of the algorithms discussed? A: The primary focus is on powerful algorithmic strategies and analysis tools. These strategies enhance the understanding of network flow problems.