Title: Genuinely Polynominal Simplex and NonSimplex Algorithms for the Minimum Cost Flow Problem Classic Reprint
Publisher: Forgotten Books
Publication Date: 2018
Language: English
ISBN 10: 1334017646
ISBN 13: 9781334017643
Binding: PAP
Condition: New
Weight: 132 grams

About this title

Synopsis

Explore how this book reframes the minimum cost flow problem with genuinely polynomial algorithms. It presents new dual simplex approaches and connects them to practical network optimization, offering a clear path from classic methods to modern bounds.

Two concise sections outline the scope and value: first, a historical view of Edmonds–Karp scaling and the search for polynomial-time pivot rules; second, a detailed development of two network dual simplex algorithms with provable performance guarantees. The discussion stays focused on structure, complexity, and implementation insights that matter for researchers and practitioners alike.

Two genuinely polynomial dual simplex pivot rules for minimum cost flow

Connections between dual pivots and shortest-path steps, including Dijkstra-based interpretations

Complexity bounds that compare with Edmonds–Karp scaling and other classical methods

Guidance on implementing these algorithms for sparse networks and practical use

Ideal for readers of advanced optimization, operations research, and algorithm design who want a rigorous but accessible treatment of network flow methods.

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

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