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hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorARNAUDON, Marc
hal.structure.identifierInstitut de Mathématiques de Toulouse UMR5219 [IMT]
dc.contributor.authorMICLO, Laurent
dc.date.accessioned2024-04-04T02:22:03Z
dc.date.available2024-04-04T02:22:03Z
dc.date.created2013-05-27
dc.date.issued2014
dc.identifier.issn0304-4149
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/189623
dc.description.abstractEnA stochastic algorithm is proposed, finding the set of generalized means associated to a probability measure on a compact Riemannian manifold M and a continuous cost function on the product of M by itself. Generalized means include p-means for p>0, computed with any continuous distance function, not necessarily the Riemannian distance. They also include means for lengths computed from Finsler metrics, or for divergences. The algorithm is fed sequentially with independent random variables Y_n distributed according to the probability measure on the manifold and this is the only knowledge of this measure required. It evolves like a Brownian motion between the times it jumps in direction of the Y_n. Its principle is based on simulated annealing and homogenization, so that temperature and approximations schemes must be tuned up. The proof relies on the investigation of the evolution of a time-inhomogeneous L^2 functional and on the corresponding spectral gap estimates due to Holley, Kusuoka and Stroock.
dc.language.isoen
dc.publisherElsevier
dc.subject.enStochastic algorithms
dc.subject.ensimulated annealing
dc.subject.enhomogenization
dc.subject.enprobability measures on compact Riemannian manifolds
dc.subject.enintrinsic means
dc.subject.eninstantaneous invariant measures
dc.subject.enGibbs measures
dc.subject.enspectral gap at small temperature
dc.title.enA stochastic algorithm finding generalized means on compact manifolds
dc.typeArticle de revue
dc.subject.halMathématiques [math]/Probabilités [math.PR]
dc.identifier.arxiv1305.6295
bordeaux.journalStochastic Processes and their Applications
bordeaux.page3463-3479
bordeaux.volume124
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-00826532
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00826532v1
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