A Scaling Algorithm for Multicommodity Flow Problems (Classic Reprint) - Softcover

Rina R. Schneur

 
9781334017025: A Scaling Algorithm for Multicommodity Flow Problems (Classic Reprint)

Synopsis

This book introduces a groundbreaking method called SAM.M to solve large-scale multicommodity flow problems in networks effectively. In multicommodity network flow problems, multiple commodities need to be transported from their origins to destinations while adhering to specified capacity constraints. SAM.M is a unique algorithm that decomposes the problem into a sequence of smaller, more manageable penalty problems, making it suitable for solving complex network flow problems in the real world. The book meticulously analyzes the performance of SAM.M, demonstrating its theoretical guarantees and computational efficiency. The author establishes that SAM.M consistently finds high-quality solutions, often reaching optimality or near-optimality, and its computational time compares favorably to other existing methods. The author also explores variations of the SAM.M algorithm, extending its applicability to feasibility multicommodity flow problems and maximum concurrent flow problems. Overall, this book provides a comprehensive understanding of the SAM.M algorithm and its significance for solving multicommodity flow problems efficiently. With its in-depth analysis and practical insights, this book is a valuable resource for researchers, practitioners, and students in operations research, network optimization, and computer science.

"synopsis" may belong to another edition of this title.

Other Popular Editions of the Same Title