Network Flow: Theory, Algorithms, and Applications (English Version)

Author: Ahua
Publisher:
Publish Date: 2005-05-01
Features: This book comprehensively introduces classical and modern network flow techniques, including comprehensive theory, algorithms, and applications. The main contents include: paths, trees, and cycles, algorithm design and analysis, maximum flow and minimum flow algorithms, assignment and matching, minimum spanning trees, Lagrange relaxation, and network optimization, etc. The book contains a large number of exercises to expand its content and facilitate teaching. Features of the book■ In-depth introduction to powerful algorithmic strategies and analytical tools, such as data scaling and potential function variables.■ Discussion of important topics and practical solutions in network optimization, such as the Lagrange relaxation method.■ Includes extensive bibliographical notes, providing valuable historical background and guidance.■ Contains over 800 exercises of varying difficulty. This book comprehensively introduces classical and modern network flow techniques, including comprehensive theory, algorithms, and applications. The main contents include: paths, trees, and cycles, algorithm design and analysis, maximum flow and minimum flow algorithms, assignment and matching, minimum spanning trees, Lagrange relaxation, and network optimization, etc. The book contains a large number of exercises to expand its content and facilitate teaching. Features of the book: In-depth introduction to powerful algorithmic strategies and analytical tools, such as data scaling and potential function variables. Discussion of important topics and practical solutions in network optimization, such as the Lagrange relaxation method. Includes extensive bibliographical notes, providing valuable historical background and guidance. Contains over 800 exercises of varying difficulty.