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On minimization of multivariate entropy functionals

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    0356510 - ÚTIA 2011 RIV GR eng C - Conference Paper (international conference)
    Csiszár, I. - Matúš, František
    On minimization of multivariate entropy functionals.
    Proceedings of the 2009 IEEE Information Theory Workshop on Networking and Information. Volos: IEEE, 2009, s. 96-100. ISBN 978-1-4244-4535-6.
    [IEEE Information Theory Workshop on Networking and Information Theory 2009. Volos (GR), 10.06.2009-12.06.2009]
    R&D Projects: GA ČR GA201/08/0539; GA AV ČR IAA100750603
    Institutional research plan: CEZ:AV0Z10750506
    Keywords : convex integral functionals * entropy * f-divergence * Bregman distance
    Subject RIV: BD - Theory of Information
    http://library.utia.cas.cz/separaty/2011/MTR/matus-on minimization of multivariate entropy functionals.pdf

    The problem of minimizing convex integral functionals subject to moment-like constraints is treated in a general setting when the underlying convex function may be multivariate, perhaps not strictly convex or differentiable. The results are applied to the minimization of $f$-divergences simultaneously in both variables.
    Permanent Link: http://hdl.handle.net/11104/0195013

     
     
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