Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice
(Sprache: Englisch)
Potential Function Methods For Approximately Solving Linear Programming Problems breaks new ground in linear programming theory. The book draws on the research developments in three broad areas: linear and integer programming, numerical...
Voraussichtlich lieferbar in 3 Tag(en)
versandkostenfrei
Buch (Kartoniert)
106.99 €
53 DeutschlandCard Punkte
sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
- Ratenzahlung möglich
Produktdetails
Produktinformationen zu „Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice “
Klappentext zu „Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice “
Potential Function Methods For Approximately Solving Linear Programming Problems breaks new ground in linear programming theory. The book draws on the research developments in three broad areas: linear and integer programming, numerical analysis, and the computational architectures which enable speedy, high-level algorithm design. During the last ten years, a new body of research within the field of optimization research has emerged, which seeks to develop good approximation algorithms for classes of linear programming problems. This work both has roots in fundamental areas of mathematical programming and is also framed in the context of the modern theory of algorithms. The result of this work, in which Daniel Bienstock has been very much involved, has been a family of algorithms with solid theoretical foundations and with growing experimental success. This book will examine these algorithms, starting with some of the very earliest examples, and through the latest theoretical and computational developments.
Inhaltsverzeichnis zu „Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice “
Early Algorithms.- The Exponential Potential Function - key Ideas.- Recent Developments.- Computational Experiments Using the Exponential Potential Function Framework.
Bibliographische Angaben
- Autor: Daniel Bienstock
- 2013, Softcover reprint of the original 1st ed. 2002, XIX, 111 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 1475776721
- ISBN-13: 9781475776720
Sprache:
Englisch
Kommentar zu "Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice"
0 Gebrauchte Artikel zu „Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice".
Kommentar verfassen