Quantitative Algebraic Reasoning

Radu Iulian Mardare, Prakash Panangaden, Gordon Plotkin

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48 Citationer (Scopus)

Abstract

We develop a quantitative analogue of equational reasoning which we call quantitative algebra. We define an equality relation indexed by rationals: a =ε b which we think of as saying that “a is approximately equal to b up to an error of ε”. We have 4 interesting examples where we have a quantitative equational theory whose free algebras correspond to well known structures. In each case we have finitary and continuous versions. The four cases are: Hausdorff metrics from quantitive semilattices; pWasserstein metrics (hence also the Kantorovich metric) from barycentric algebras and also from pointed barycentric algebras and the total variation metric from a variant of barycentric algebras.
OriginalsprogEngelsk
TitelProceedings of the 31st Annual ACM/IEEE Symposium on Logic in Computer Science : LICS'16, New York, NY, USA, July 5-8, 2016
Antal sider10
ForlagAssociation for Computing Machinery
Publikationsdato2016
Sider700-709
ISBN (Trykt)978-1-4503-4391-6
DOI
StatusUdgivet - 2016
Begivenhed31st IEEE Symposium on Logic in Computer Science - Columbia University, New York City, USA
Varighed: 5 jul. 20168 jul. 2016
Konferencens nummer: 31st
http://lics.rwth-aachen.de/lics16/

Konference

Konference31st IEEE Symposium on Logic in Computer Science
Nummer31st
LokationColumbia University
Land/OmrådeUSA
ByNew York City
Periode05/07/201608/07/2016
Internetadresse

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