Parameterized Complexity in the Polynomial Hierarchy : Extending Parameterized Complexity Theory to Higher Levels of the Hierarchy
Language: English
Published by Springer, 2019
- Softcover
- New
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Druck auf Anfrage Neuware - Printed after ordering - Parameterized Complexity in the Polynomial Hierarchy was co-recipient of the E.W. Beth Dissertation Prize 2017 for outstanding dissertations in the fields of logic, language, and information. This work extends the theory of parameterized complexity to higher levels of the Polynomial Hierarchy (PH). For problems at higher levels of the PH, a promising solving approach is to develop fixed-parameter tractable reductions to SAT, and to subsequently use a SAT solving algorithm to solve the problem. In this dissertation, a theoretical toolbox is developed that can be used to classify in which cases this is possible. The use of this toolbox is illustrated by applying it to analyze a wide range of problems from various areas of computer science and artificial intelligence.
Seller Inventory # 9783662606698
- Title
- Parameterized Complexity in the Polynomial Hierarchy : Extending Parameterized Complexity Theory to Higher Levels of the Hierarchy
- Author
- Ronald de Haan
- Publisher
- Springer
- Publication year
- 2019
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3662606690
- ISBN 13
- 9783662606698
- Item weight
- 622 grams
- Dimensions
- 235x155x23 mm
- Series
- Book 1 of 1: Lecture Notes in Computer Science
Parameterized Complexity in the Polynomial Hierarchy was co-recipient of the E.W. Beth Dissertation Prize 2017 for outstanding dissertations in the fields of logic, language, and information. This work extends the theory of parameterized complexity to higher levels of the Polynomial Hierarchy (PH). For problems at higher levels of the PH, a promising solving approach is to develop fixed-parameter tractable reductions to SAT, and to subsequently use a SAT solving algorithm to solve the problem. In this dissertation, a theoretical toolbox is developed that can be used to classify in which cases this is possible. The use of this toolbox is illustrated by applying it to analyze a wide range of problems from various areas of computer science and artificial intelligence.
"Synopsis" may belong to another edition of this title.
About the Author
His research interests include the application of methods from theoretical computer science―in particular methods from (parameterized) complexity theory―to problems in computational logic, artificial intelligence (AI), and knowledge representation & reasoning (KRR).
He wrote his PhD thesis―titled Parameterized Complexity in the Polynomial Hierarchy―at the Algorithms and Complexity Group at the Faculty of Informatics of the Technische Universität Wien. He received his PhD in 2016. His PhD thesis was awarded the E.W. Beth Dissertation Prize 2017, was shortlisted for the Heinz Zemanek Prize 2018, and was nominated for the GI-Dissertationspreis 2016 of the German Informatics Society.
"About the title" may belong to another edition of this title.
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