Feedback Arc Set: A History of the Problem and Algorithms
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.

1141628572
Feedback Arc Set: A History of the Problem and Algorithms
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.

54.99 In Stock
Feedback Arc Set: A History of the Problem and Algorithms

Feedback Arc Set: A History of the Problem and Algorithms

by Robert Kudelic
Feedback Arc Set: A History of the Problem and Algorithms

Feedback Arc Set: A History of the Problem and Algorithms

by Robert Kudelic

Paperback(1st ed. 2022)

$54.99 
  • SHIP THIS ITEM
    In stock. Ships in 1-2 days.
  • PICK UP IN STORE

    Your local store may have stock of this item.

Related collections and offers


Overview

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.


Product Details

ISBN-13: 9783031105142
Publisher: Springer International Publishing
Publication date: 10/11/2022
Series: SpringerBriefs in Computer Science
Edition description: 1st ed. 2022
Pages: 126
Product dimensions: 6.10(w) x 9.25(h) x (d)

About the Author

Robert Kudelić 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.

Table of Contents

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.
From the B&N Reads Blog

Customer Reviews