Facility layout optimization using the Metropolis algorithm = Optimisation de l'implantation des installations en utilisant l'algorithme MetropolisSHARPE, R; MARKSJO, B. S.Environment and planning. B, Planning & design (Print). 1985, Vol 12, Num 4, pp 443-453, issn 0265-8135Article

On two classical Ramsey numbers of the form R(3, n)EXOO, G.SIAM journal on discrete mathematics. 1989, Vol 2, Num 4, pp 488-490, 3 p.Article

Bubble nucleation and cooperativity in DNA meltingARES, S; VOULGARAKIS, N. K; RASMUSSEN, K. Ø et al.Physical review letters. 2005, Vol 94, Num 3, pp 035504.1-035504.4, issn 0031-9007Article

Unidirectional search dynamics in optimization by metropolis algorithmHASEGAWA, Manabu.Journal of the Physical Society of Japan. 2005, Vol 74, Num 10, pp 2872-2873, issn 0031-9015, 2 p.Article

Quantum Metropolis samplingTEMME, K; OSBORNE, T. J; VOLLBRECHT, K. G et al.Nature (London). 2011, Vol 471, Num 7336, pp 87-90, issn 0028-0836, 4 p.Article

Optimizing Metropolis Monte Carlo simulations of semiconductorsDA SILVA, Cesar R. S.Computer physics communications. 2003, Vol 153, Num 3, pp 392-396, issn 0010-4655, 5 p.Article

Une implémentation du Théorème de Rao-Blackwell en simulation avec rejet = Rao-Blackwell Theorem for sampling schemes with rejectionCASELLA, G; ROBERT, C. P.Comptes rendus de l'Académie des sciences. Série 1, Mathématique. 1996, Vol 322, Num 6, pp 571-576, issn 0764-4442Article

Decay of correlations in a topological glassECKMANN, Jean-Pierre; YOUNAN, Maher.Philosophical magazine (2003. Print). 2012, Vol 92, Num 1-3, pp 98-119, issn 1478-6435, 22 p.Article

Optimization of neutron scattering instruments using different optimization routinesLIEUTENANT, K.Journal of physics. Condensed matter (Print). 2005, Vol 17, Num 5, pp 167-174, issn 0953-8984, 8 p.Conference Paper

Asymptotic variance and convergence rates of nearly-periodic Markov chain Monte Carlo algorithmsROSENTHAL, Jeffrey S.Journal of the American Statistical Association. 2003, Vol 97, Num 461, pp 169-177, issn 0162-1459, 9 p.Article

Parallel Monte Carlo simulations by asynchronous domain decompositionUHLHERR, Alfred.Computer physics communications. 2003, Vol 155, Num 1, pp 31-41, issn 0010-4655, 11 p.Article

A random effects model for diseases with heterogeneous rates of infectionNING LI; GUOQI QIAN; HUGGINS, Richard et al.Journal of statistical planning and inference. 2003, Vol 116, Num 1, pp 317-332, issn 0378-3758, 16 p.Article

Flat energy-histogram simulation of the phase transition in an Ising fully frustrated latticeTHANH NGO, V; TIEN HOANG, D; DIEP, H. T et al.Journal of physics. Condensed matter (Print). 2011, Vol 23, Num 22, issn 0953-8984, 226002.1-226002.5Article

Monte Carlo study of the Falicov-Kimball model : implementation of the histogram methodWROBEL, Maciej; MATCZAK, Mateusz; MIERZEJEWSKI, Marcin et al.Physica status solidi. B. Basic research. 2009, Vol 246, Num 5, pp 931-935, issn 0370-1972, 5 p.Conference Paper

Regeneration in Markov chain samplersMYKLAND, P; TIERNEY, L; BIN YU et al.Journal of the American Statistical Association. 1995, Vol 90, Num 429, pp 233-241, issn 0162-1459Article

Simulated annealing algorithm for the minimum weighted perfect Euclidean matching problemLUTTON, J.-L; BONOMI, E.RAIRO. Recherche opérationnelle. 1986, Vol 20, Num 3, pp 177-197, issn 0399-0559Article

The Multiset SamplerLEMAN, Scotland C; CHEN, Yuguo; LAVINE, Michael et al.Journal of the American Statistical Association. 2009, Vol 104, Num 487, pp 1029-1041, issn 0162-1459, 13 p.Article

Dynamically weighted importance sampling in Monte Carlo computationLIANG, Faming.Journal of the American Statistical Association. 2002, Vol 97, Num 459, pp 807-821, issn 0162-1459, 15 p.Article

Peskun's theorem and a modified discrete-state Gibbs samplerLIU, J. S.Biometrika. 1996, Vol 83, Num 3, pp 681-682, issn 0006-3444Article

An application of Markov chain monte carlo to community ecologyCOBB, George W; CHEN, Yung-Pin.The American mathematical monthly. 2003, Vol 110, Num 4, pp 265-288, issn 0002-9890, 24 p.Article

Vitesse de convergence de la dynamique de Swendsen-Wang pour minimiser des énergies de segmentation d'images = Speed of convergence of the Swendsen-Wang dynamics to minimize image segmentation energiesGAUDRON, I.Comptes rendus de l'Académie des sciences. Série 1, Mathématique. 1995, Vol 320, Num 4, pp 475-478, issn 0764-4442Article

Note on the Metropolis Monte Carlo method on random latticesTSUDA, N; FUJITSU, A; YUKAWA, T et al.Computer physics communications. 1995, Vol 87, Num 3, pp 372-374, issn 0010-4655Article

Bayesian models for multiple local sequence alignment and Gibbs sampling strategiesLIU, J. S; NEUWALD, A. F; LAWRENCE, C. E et al.Journal of the American Statistical Association. 1995, Vol 90, Num 432, pp 1156-1170, issn 0162-1459Article

A latent variable model for discrete multivariate psychometric waiting timesDOUGLAS, J. A; KOSOROK, M. R; CHEWNING, B. A et al.Psychometrika. 1999, Vol 64, Num 1, pp 69-82, issn 0033-3123Article

The Metropolis algorithm for graph bisectionJERRUM, M; SORKIN, G. B.Discrete applied mathematics. 1998, Vol 82, Num 1-3, pp 155-175, issn 0166-218XArticle