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updated 13 days ago

[models,logP]=mcmc(m,loglikelihood,logmodelprior,stepfunction,mccount,skip) by Aslak Grinsted

Markov Chain Monte Carlo sampling of posterior distribution (metropolis, mcmc, likelihood)

[models,logP]=mcmc(m,loglikelihood,logmodelprior,stepfunc...

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updated 7 months ago

Adaptive Metropolis Hastings and Factor Slice Sampling by Khoa Tran

General purpose Markov Chain Monte Carlo sampling techniques for linearly correlated distribution (mcmc, monte carlo, markov chain)

AM(X,OPT)

FSS(X,OPT)

RWM(X,OPT)

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updated 2 years ago

Monte carlo simulation of three dimensional grain growth - code - version No. 1 (basic) by sunil anandatheertha

Q-state Metropolis algorithm based Monte-Carlo simulation of basic 3D GRAIN GROWTH (metallurgy, materials, material science)

AssignRandomInitialStateMatrix_3D_QPOTTS(x,Q)

E1=Energy1_3D_QPOTTS(IESM)

E2=Energy2_3D_QPOTTS(IESM_NewSpin)

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updated 2 years ago

Monte carlo simulation of two dimensional grain growth - code - version No. 1 (basic) by sunil anandatheertha

Q-state Metropolis algorithm based Monte-Carlo simulation of basic GRAIN GROWTH (metallurgy, materials, material science)

AssignRandomInitialStatematrix(x,Q);

AverageGrainSize(state,x,y)

EdgeBoundaryWrapQPOTTS(i,j,x)

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updated 3 years ago

Simulated Annealing Optimization by H├ęctor Corte

This program performs simulated annealing otimization on functions of R^n in R. (finance, optimization, simulation)

sim_anl.m

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updated 9 years ago

Metropolis Hastings Sampling by Karthik Sridharan

Sample from a user defined function using metropolis hastings sampling method. (statistics, probability, sampling)

func(x,funcname)

hastingsample(funcname,siz,number)

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