License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ICALP.2019.5
URN: urn:nbn:de:0030-drops-105812
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2019/10581/
Yannakakis, Mihalis
Fixed Point Computation Problems and Facets of Complexity (Invited Talk)
Abstract
Many problems from a wide variety of areas can be formulated mathematically as the problem of computing a fixed point of a suitable given multivariate function. Examples include a variety of problems from game theory, economics, optimization, stochastic analysis, verification, and others. In some problems there is a unique fixed point (for example if the function is a contraction); in others there may be multiple fixed points and any one of them is an acceptable solution; while in other cases the desired object is a specific fixed point (for example the least fixed point or greatest fixed point of a monotone function). In this talk we will discuss several types of fixed point computation problems, their complexity, and some of the common themes that have emerged: classes of problems for which there are efficient algorithms, and other classes for which there seem to be serious obstacles.
BibTeX - Entry
@InProceedings{yannakakis:LIPIcs:2019:10581,
author = {Mihalis Yannakakis},
title = {{Fixed Point Computation Problems and Facets of Complexity (Invited Talk)}},
booktitle = {46th International Colloquium on Automata, Languages, and Programming (ICALP 2019)},
pages = {5:1--5:1},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-109-2},
ISSN = {1868-8969},
year = {2019},
volume = {132},
editor = {Christel Baier and Ioannis Chatzigiannakis and Paola Flocchini and Stefano Leonardi},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2019/10581},
URN = {urn:nbn:de:0030-drops-105812},
doi = {10.4230/LIPIcs.ICALP.2019.5},
annote = {Keywords: Fixed Point, Polynomial Time Algorithm, Computational Complexity}
}
Keywords: |
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Fixed Point, Polynomial Time Algorithm, Computational Complexity |
Collection: |
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46th International Colloquium on Automata, Languages, and Programming (ICALP 2019) |
Issue Date: |
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2019 |
Date of publication: |
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04.07.2019 |