0356510 20240103194845.720110218235959.9 5 s. WWW cav_un_epca*0356677978-1-4244-4535-696-100VolosIEEE2009 convex integral functionals entropy f-divergence Bregman distance cav_un_auth*0015571 Csiszár I. HU cav_un_auth*0101161 Matúš František Matematická teorie rozhodování Department of Decision Making Theory MTR MTR UTIA-B Department of Decision Making Theory Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2011/MTR/matus-on minimization of multivariate entropy functionals.pdf GA201/08/0539 GA ČR cav_un_auth*0239648 IAA100750603 GA AV ČR cav_un_auth*0216427 CEZ:AV0Z10750506 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. cav_un_auth*0269965 IEEE Information Theory Workshop on Networking and Information Theory 2009 Volos 10.06.2009-12.06.2009 GR 2011 BD http://hdl.handle.net/11104/0195013 2009 cav_un_epca*0356677 Proceedings of the 2009 IEEE Information Theory Workshop on Networking and Information 978-1-4244-4535-6 96 100 Volos IEEE 2009