Probabilistic constraints for nonlinear inverse problems

Elsa Carvalho, Jorge Cruz, Pedro Barahona

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The probabilistic continuous constraint (PC) framework complements the representation of uncertainty by means of intervals with a probabilistic distribution of values within such intervals. This paper, published in Constraints [8], describes how nonlinear inverse problems can be cast into this framework, highlighting its ability to deal with all the uncertainty aspects of such problems, and illustrates this new methodology in Ocean Color (OC), a research area widely used in climate change studies with significant applications in water quality monitoring.

Original languageEnglish
Title of host publicationPrinciples and Practice of Constraint Programming - 20th International Conference, CP 2014, Proceedings
PublisherSpringer-Verlag
Pages913-917
Number of pages5
Volume8656 LNCS
ISBN (Print)9783319104270
DOIs
Publication statusPublished - 2014
Event20th International Conference on the Principles and Practice of Constraint Programming, CP 2014 - Lyon, France
Duration: 8 Sep 201412 Sep 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8656 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference20th International Conference on the Principles and Practice of Constraint Programming, CP 2014
CountryFrance
CityLyon
Period8/09/1412/09/14

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  • Cite this

    Carvalho, E., Cruz, J., & Barahona, P. (2014). Probabilistic constraints for nonlinear inverse problems. In Principles and Practice of Constraint Programming - 20th International Conference, CP 2014, Proceedings (Vol. 8656 LNCS, pp. 913-917). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8656 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-319-10428-7_66