The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Fast Witness Extraction using a Decision Oracle

Author

  • Andreas Björklund
  • Petteri Kaski
  • Lukasz Kowalik

Editor

  • Andreas Schulz
  • Dorothea Wagner

Summary, in English

The gist of many (NP-)hard combinatorial problems is to decide whether a universe of n elements contains a witness consisting of k elements that match some prescribed pattern. For some of these problems there are known advanced algebra-based FPT algorithms which solve the decision problem but do not return the witness. We investigate techniques for turning such a YES/NO-decision oracle into an algorithm for extracting a single witness, with an objective to obtain practical scalability for large values of n. By relying on techniques from combinatorial group testing, we demonstrate that a witness may be extracted with O(klogn) queries to either a deterministic or a randomized set inclusion oracle with one-sided probability of error. Furthermore, we demonstrate through implementation and experiments that the algebra-based FPT algorithms are practical, in particular in the setting of the k-path problem. Also discussed are engineering issues such as optimizing finite field arithmetic.

Publishing year

2014

Language

English

Pages

149-160

Publication/Series

Algorithms - ESA 2014/Lecture notes in computer science

Volume

8737

Document type

Conference paper

Publisher

Springer

Topic

  • Computer Science

Conference name

European Symposium on Algorithms

Conference date

2014-09-08 - 2014-09-10

Conference place

Wroclaw, Poland

Status

Published

Project

  • Exact algorithms

Research group

  • Algorithms

ISBN/ISSN/Other

  • ISSN: 1611-3349
  • ISSN: 0302-9743
  • ISBN: 978-3-662-44777-2