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Property Testing: Current Research and Surveys

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Personen und Körperschaften: Goldreich, Oded (VerfasserIn)
Titel: Property Testing: Current Research and Surveys/ edited by Oded Goldreich
Format: E-Book Konferenzbericht
Sprache: Englisch
veröffentlicht:
Berlin, Heidelberg Springer Berlin Heidelberg 2010
Gesamtaufnahme: SpringerLink
Lecture notes in computer science ; 6390
Schlagwörter:
Druckausg.: Property testing, Berlin : Springer, 2010, XI, 358 S.
Quelle: Verbunddaten SWB
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contents Editor’s Introduction -- A Brief Introduction to Property Testing -- The Program of the Mini-Workshop -- Surveys -- Limitation on the Rate of Families of Locally Testable Codes -- Testing Juntas -- Sublinear-time Algorithms -- Short Locally Testable Codes and Proofs: A Survey in Two Parts -- Introduction to Testing Graph Properties -- Property Testing of Massively Parameterized Problems -- Sublinear Graph Approximation Algorithms -- Transitive-Closure Spanners -- Testing by Implicit Learning -- Invariance in Property Testing -- Extended Abstracts -- Testing Monotone Continuous Distributions on High-Dimensional Real Cubes -- On Constant Time Approximation of Parameters of Bounded Degree Graphs -- Sublinear Algorithms in the External Memory Model -- Polylogarithmic Approximation for Edit Distance and the Asymmetric Query Complexity -- Comparing the Strength of Query Types in Property Testing: The Case of Testing k-Colorability -- Testing Linear-Invariant Non-linear Properties: A Short Report -- Optimal Testing of Reed-Muller Codes -- Query-Efficient Dictatorship Testing with Perfect Completeness -- Composition of Low-Error 2-Query PCPs Using Decodable PCPs -- Hierarchy Theorems for Property Testing -- Algorithmic Aspects of Property Testing in the Dense Graphs Model -- Testing Euclidean Spanners -- Symmetric LDPCCodes and Local Testing -- Some Recent Results on Local Testing of Sparse Linear Codes -- Testing (Subclasses of) Halfspaces -- Dynamic Approximate Vertex Cover and Maximum Matching -- Local Property Reconstruction and Monotonicity -- Green’s Conjecture and Testing Linear Invariant Properties., Property Testing is the study of super-fast (randomized) algorithms for approximate decision making. These algorithms are given direct access to items of a huge data set, and determine, whether this data set has some predetermined (global) property or is far from having this property. Remarkably, this approximate decision is made by accessing a small portion of the data set. This state-of-the-art survey presents a collection of extended abstracts and surveys of leading researchers in property testing and related areas; it reflects the program of a mini-workshop on property testing that took place in January 2010 at the Institute for Computer Science (ITCS), Tsinghua University, Beijing, China. The volume contains two editor's introductions, 10 survey papers and 18 extended abstracts.
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spelling Goldreich, Oded 1957- (DE-588)120549255 (DE-627)520392841 (DE-576)166204544 aut, Property Testing Current Research and Surveys edited by Oded Goldreich, Berlin, Heidelberg Springer Berlin Heidelberg 2010, Online-Ressource (XI, 359p. 5 illus, online resource), Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Lecture Notes in Computer Science 6390, SpringerLink Bücher, Editor’s Introduction -- A Brief Introduction to Property Testing -- The Program of the Mini-Workshop -- Surveys -- Limitation on the Rate of Families of Locally Testable Codes -- Testing Juntas -- Sublinear-time Algorithms -- Short Locally Testable Codes and Proofs: A Survey in Two Parts -- Introduction to Testing Graph Properties -- Property Testing of Massively Parameterized Problems -- Sublinear Graph Approximation Algorithms -- Transitive-Closure Spanners -- Testing by Implicit Learning -- Invariance in Property Testing -- Extended Abstracts -- Testing Monotone Continuous Distributions on High-Dimensional Real Cubes -- On Constant Time Approximation of Parameters of Bounded Degree Graphs -- Sublinear Algorithms in the External Memory Model -- Polylogarithmic Approximation for Edit Distance and the Asymmetric Query Complexity -- Comparing the Strength of Query Types in Property Testing: The Case of Testing k-Colorability -- Testing Linear-Invariant Non-linear Properties: A Short Report -- Optimal Testing of Reed-Muller Codes -- Query-Efficient Dictatorship Testing with Perfect Completeness -- Composition of Low-Error 2-Query PCPs Using Decodable PCPs -- Hierarchy Theorems for Property Testing -- Algorithmic Aspects of Property Testing in the Dense Graphs Model -- Testing Euclidean Spanners -- Symmetric LDPCCodes and Local Testing -- Some Recent Results on Local Testing of Sparse Linear Codes -- Testing (Subclasses of) Halfspaces -- Dynamic Approximate Vertex Cover and Maximum Matching -- Local Property Reconstruction and Monotonicity -- Green’s Conjecture and Testing Linear Invariant Properties., Property Testing is the study of super-fast (randomized) algorithms for approximate decision making. These algorithms are given direct access to items of a huge data set, and determine, whether this data set has some predetermined (global) property or is far from having this property. Remarkably, this approximate decision is made by accessing a small portion of the data set. This state-of-the-art survey presents a collection of extended abstracts and surveys of leading researchers in property testing and related areas; it reflects the program of a mini-workshop on property testing that took place in January 2010 at the Institute for Computer Science (ITCS), Tsinghua University, Beijing, China. The volume contains two editor's introductions, 10 survey papers and 18 extended abstracts., Computer software, Computational complexity, Information systems, Computer science, Artificial intelligence, Computer graphics, Computer Science, Discrete mathematics., Computer programming., Algorithms., Konferenzschrift 2010 Peking (DE-588)1071861417 (DE-627)826484824 (DE-576)433375485 gnd-content, s (DE-588)4196735-5 (DE-627)105201693 (DE-576)210109750 Theoretische Informatik gnd, s (DE-588)4176929-6 (DE-627)105352527 (DE-576)209974001 Randomisierter Algorithmus gnd, s (DE-588)4113446-1 (DE-627)105829420 (DE-576)209476559 Entscheidungsfindung gnd, s (DE-588)4500954-5 (DE-627)24372358X (DE-576)21308404X Approximationsalgorithmus gnd, s (DE-588)4757631-5 (DE-627)374727759 (DE-576)216100801 Großes Datenbanksystem gnd, s (DE-588)4011133-7 (DE-627)106354221 (DE-576)208891978 Datensatz gnd, s (DE-588)4367264-4 (DE-627)181761459 (DE-576)211692794 Testen gnd, DE-101, 9783642163661, Druckausg. Property testing Berlin : Springer, 2010 XI, 358 S. (DE-627)635192527 (DE-576)332278921 3642163661 9783642163661, Lecture notes in computer science 6390 6390 (DE-627)316228877 (DE-576)093890923 (DE-600)2018930-8 1611-3349 ns, https://doi.org/10.1007/978-3-642-16367-8 X:SPRINGER Verlag lizenzpflichtig Volltext, https://zbmath.org/?q=an:1197.68012 B:ZBM 2021-04-12 Verlag Zentralblatt MATH Inhaltstext, http://dx.doi.org/10.1007/978-3-642-16367-8 DE-14, DE-14 2011-07-20T14:58:14Z epn:3336898226, http://dx.doi.org/10.1007/978-3-642-16367-8 DE-15, DE-15 2014-03-18T11:18:54Z epn:3336898277, http://dx.doi.org/10.1007/978-3-642-16367-8 Zum Online-Dokument DE-Zi4, DE-Zi4 2014-03-18T11:14:01Z epn:3336898358, http://dx.doi.org/10.1007/978-3-642-16367-8 DE-520, DE-520 2014-03-18T11:18:54Z epn:3336898447
spellingShingle Goldreich, Oded, Property Testing: Current Research and Surveys, Lecture notes in computer science, 6390, Editor’s Introduction -- A Brief Introduction to Property Testing -- The Program of the Mini-Workshop -- Surveys -- Limitation on the Rate of Families of Locally Testable Codes -- Testing Juntas -- Sublinear-time Algorithms -- Short Locally Testable Codes and Proofs: A Survey in Two Parts -- Introduction to Testing Graph Properties -- Property Testing of Massively Parameterized Problems -- Sublinear Graph Approximation Algorithms -- Transitive-Closure Spanners -- Testing by Implicit Learning -- Invariance in Property Testing -- Extended Abstracts -- Testing Monotone Continuous Distributions on High-Dimensional Real Cubes -- On Constant Time Approximation of Parameters of Bounded Degree Graphs -- Sublinear Algorithms in the External Memory Model -- Polylogarithmic Approximation for Edit Distance and the Asymmetric Query Complexity -- Comparing the Strength of Query Types in Property Testing: The Case of Testing k-Colorability -- Testing Linear-Invariant Non-linear Properties: A Short Report -- Optimal Testing of Reed-Muller Codes -- Query-Efficient Dictatorship Testing with Perfect Completeness -- Composition of Low-Error 2-Query PCPs Using Decodable PCPs -- Hierarchy Theorems for Property Testing -- Algorithmic Aspects of Property Testing in the Dense Graphs Model -- Testing Euclidean Spanners -- Symmetric LDPCCodes and Local Testing -- Some Recent Results on Local Testing of Sparse Linear Codes -- Testing (Subclasses of) Halfspaces -- Dynamic Approximate Vertex Cover and Maximum Matching -- Local Property Reconstruction and Monotonicity -- Green’s Conjecture and Testing Linear Invariant Properties., Property Testing is the study of super-fast (randomized) algorithms for approximate decision making. These algorithms are given direct access to items of a huge data set, and determine, whether this data set has some predetermined (global) property or is far from having this property. Remarkably, this approximate decision is made by accessing a small portion of the data set. This state-of-the-art survey presents a collection of extended abstracts and surveys of leading researchers in property testing and related areas; it reflects the program of a mini-workshop on property testing that took place in January 2010 at the Institute for Computer Science (ITCS), Tsinghua University, Beijing, China. The volume contains two editor's introductions, 10 survey papers and 18 extended abstracts., Computer software, Computational complexity, Information systems, Computer science, Artificial intelligence, Computer graphics, Computer Science, Discrete mathematics., Computer programming., Algorithms., Konferenzschrift 2010 Peking, Theoretische Informatik, Randomisierter Algorithmus, Entscheidungsfindung, Approximationsalgorithmus, Großes Datenbanksystem, Datensatz, Testen
swb_id_str 333466551
title Property Testing: Current Research and Surveys
title_auth Property Testing Current Research and Surveys
title_full Property Testing Current Research and Surveys edited by Oded Goldreich
title_fullStr Property Testing Current Research and Surveys edited by Oded Goldreich
title_full_unstemmed Property Testing Current Research and Surveys edited by Oded Goldreich
title_in_hierarchy 6390. Property Testing: Current Research and Surveys (2010)
title_short Property Testing
title_sort property testing current research and surveys
title_sub Current Research and Surveys
title_unstemmed Property Testing: Current Research and Surveys
topic Computer software, Computational complexity, Information systems, Computer science, Artificial intelligence, Computer graphics, Computer Science, Discrete mathematics., Computer programming., Algorithms., Konferenzschrift 2010 Peking, Theoretische Informatik, Randomisierter Algorithmus, Entscheidungsfindung, Approximationsalgorithmus, Großes Datenbanksystem, Datensatz, Testen
topic_facet Computer software, Computational complexity, Information systems, Computer science, Artificial intelligence, Computer graphics, Computer Science, Discrete mathematics., Computer programming., Algorithms., Konferenzschrift, Theoretische Informatik, Randomisierter Algorithmus, Entscheidungsfindung, Approximationsalgorithmus, Großes Datenbanksystem, Datensatz, Testen
url https://doi.org/10.1007/978-3-642-16367-8, https://zbmath.org/?q=an:1197.68012, http://dx.doi.org/10.1007/978-3-642-16367-8