Probabilistic bounds on one step objective/potential function improvement in Karmarkar's algorithm
M. Minoux (1994)
RAIRO - Operations Research - Recherche Opérationnelle
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M. Minoux (1994)
RAIRO - Operations Research - Recherche Opérationnelle
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Hosam M. Mahmoud, Reza Modarres, Robert T. Smythe (1995)
RAIRO - Theoretical Informatics and Applications - Informatique Théorique et Applications
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Claudio Asci, Mauro Piccioni (2009)
Kybernetika
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The BIPF algorithm is a Markovian algorithm with the purpose of simulating certain probability distributions supported by contingency tables belonging to hierarchical log-linear models. The updating steps of the algorithm depend only on the required expected marginal tables over the maximal terms of the hierarchical model. Usually these tables are marginals of a positive joint table, in which case it is well known that the algorithm is a blocking Gibbs Sampler. But the algorithm makes...
P. Hennequin (1989)
RAIRO - Theoretical Informatics and Applications - Informatique Théorique et Applications
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Hans C. Andersen, Persi Diaconis (2007)
Journal de la société française de statistique
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We present a generalization of hit and run algorithms for Markov chain Monte Carlo problems that is ‘equivalent’ to data augmentation and auxiliary variables. These algorithms contain the Gibbs sampler and Swendsen-Wang block spin dynamics as special cases. The unification allows theorems, examples, and heuristics developed in one domain to illuminate parallel domains.
Jean-Luc Lutton, Ernesto Bonomi (1986)
RAIRO - Operations Research - Recherche Opérationnelle
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E. Diday, A. Schroeder (1976)
RAIRO - Operations Research - Recherche Opérationnelle
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