Perfect Sampling Algorithm for Schur Processes Dan Betea, Cédric Boutillier, Jérémie Bouttier, Guillaume Chapuy, Sylvie Corteel, Mirjana Vuletić
Perfect sampling algorithm for Schur processes Dan Betea, Cédric Boutillier, Jérémie Bouttier, Guillaume Chapuy, Sylvie Corteel, Mirjana Vuletić To cite this version: Dan Betea, Cédric Boutillier, Jérémie Bouttier, Guillaume Chapuy, Sylvie Corteel, et al.. Perfect sampling algorithm for Schur processes. Markov Processes And Related Fields, Polymat Publishing Company, 2018, 24 (3), pp.381-418. hal-01023784 HAL Id: hal-01023784 https://hal.archives-ouvertes.fr/hal-01023784 Submitted on 5 Sep 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Perfect sampling algorithms for Schur processes D. Betea∗ C. Boutillier∗ J. Bouttiery G. Chapuyz S. Corteelz M. Vuleti´cx August 31, 2018 Abstract We describe random generation algorithms for a large class of random combinatorial objects called Schur processes, which are sequences of random (integer) partitions subject to certain interlacing con- ditions. This class contains several fundamental combinatorial objects as special cases, such as plane partitions, tilings of Aztec diamonds, pyramid partitions and more generally steep domino tilings of the plane. Our algorithm, which is of polynomial complexity, is both exact (i.e. the output follows exactly the target probability law, which is either Boltzmann or uniform in our case), and entropy optimal (i.e.
[Show full text]