Feedback Arc Set

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Details

The main aim of the book is to give a review of all relevant information regarding a well-known and important problem of Feedback Arc Set (FAS). This review naturally also includes a history of the problem, as well as specific algorithms. To this point such a work does not exist: There are sources where one can find incomplete and perhaps untrustworthy information. With this book, information about FAS can be found easily in one place: formulation, description, theoretical background, applications, algorithms etc. Such a compendium will be of help to people involved in research, but also to people that want to quickly acquaint themselves with the problem and need reliable information. Thus research, professional work and learning can proceed in a more streamlined and faster way.



Includes everything important about FAS in one place, methodologically organized and from a reliable source A FAS work that is both extensive and in-depth, covering aspects from theory to practice An unparalelled compendium of FAS algorithms, including important information from works that produced them

Autorentext

Robert Kudelic earned his PhD in combinatorial optimization and Feedback Arc Set (FAS), by designing a Monte Carlo randomized algorithm for FAS, the first such algorithm of its kind. An assistant professor, he has published for a number of high quality journals, is an editor of a scientific journal, and has received a dean's award for his scientific work. He has been dealing with FAS for some time, and this book was a consequence of that. His teaching experience and scientific work primarily deals with programming, algorithms and computational intelligence. He resides in Croatia.


Inhalt
Part 1. Overview of Findings.- Chapter 1. Feedback Arc Set.- Part 2. Feedback Arc Set and Algorithms Thereof.- Chapter 2. Introductory Remarks.- Chapter 3. Papers and Algorithms.- Part 3. Complexity Informed.- Chapter 4. Having the Right Tool.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783031105142
    • Genre Information Technology
    • Auflage 1st edition 2022
    • Lesemotiv Verstehen
    • Anzahl Seiten 140
    • Größe H235mm x B155mm x T8mm
    • Jahr 2022
    • EAN 9783031105142
    • Format Kartonierter Einband
    • ISBN 3031105141
    • Veröffentlichung 11.10.2022
    • Titel Feedback Arc Set
    • Autor Robert Kudeli
    • Untertitel A History of the Problem and Algorithms
    • Gewicht 224g
    • Herausgeber Springer International Publishing
    • Sprache Englisch

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