Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 12 of 12 for “"Metropolis Algorithm"”.
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Rejection-Free and Partial Neighbor Search MCMC Algorithms
The Metropolis algorithm involves producing a Markov chain to converge in distribution to a specified target density $\pi$. To improve its efficiency, we can use the Rejection-Free version of the Metropolis algorithm, which avoids the inefficiency of rejections by evaluating all neighbors. …
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Causal and stable stochastic relativistic hydrodynamics
… conservative and so can be simulated using the Metropolis algorithm, supporting the inclusion of stochastic fluctuations in the modeling of heavy-ion collisions.
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Qualitative and quantitative convergence results for randomised integration methods
… which ensure the asymptotic correctness of an algorithm or provide explicit error bounds. The first problem we consider is Lebesgue integration in the unit cube. We prove that a class of structured randomised integration methods is consistent w.r.t. convergence in mean and probability for any …
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Conformation of Transmembrane Segments of a Protein by a Coarse Grain Model
… interaction matrix is used as input in the Metropolis algorithm. Contact maps, mobility, radius of gyration, and structure factors, are examined as functions of temperature due to the efficiency of this model. Thermal response of the radius of gyration of this protein in the low-temperature …
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Various Approximate Methods to Measure the Uniformity of Quasirandom Sequences
… we have been looking for effective approximate algorithms. The star discrepancy can be thought of as the maximum of a function called the local discrepancy, and we will develop approximate algorithms to maximize this function. In this dissertation, we introduce new algorithms for estimating the …
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Optimizing adsorbents for heat storage applications : estimation of thermodynamic limits and Monte Carlo simulations of water adsorption in nanopores
… part of this thesis. Simulations based on the Metropolis algorithm are carried out in the grand canonical ensemble, yielding the number of water molecules adsorbed in thermodynamic equilibrium under given conditions of temperature and pressure. The simulation makes use of configurational bias …
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Power plant carbon dioxide emission quantification with plume modeling
… estimation for linear model, Levenberg–Marquardt algorithm for non-linear model and adaptive Metropolis algorithm. A goodness of different fits can be quantified by comparing values of the root mean square errors; the better fit the smaller value the root mean square error has. A plume inversion …
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Improving estimation of gross primary productivity of terrestrial ecosystems
… to improve the estimation, which is based on the algorithms for the NOAA Advanced Very High Resolution Radiometer (AVHRR), of biophysical/biochemical variables of vegetation. My doctoral study improves estimation of gross primary productivity (GPP) through two aspects: first, my study improved the …
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Essays on the Bayesian inequality restricted estimation
… estimation, namely Gibbs (1984) sampling and the Metropolis (1953, 1970) Algorithm. In this research, several Monte Carlo experiments have been carried out to better understand the finite sample properties of Bayesian estimator and its relative performance to Maximum Likelihood Estimation (MLE) in …
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The investigation of solvent shell structure and reactivity in solvated metal ion clusters
… interaction between the molecules and the ion. A Metropolis algorithm was used to minimize the energy of the system using simulated annealing. Temperatures for the simulation were chosen by assuming either RRK or RRKM dissociation rates and casting the clusters in an evaporative ensemble. The …
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Bayesian Parameter Estimation on Three Models of Influenza
Mathematical models of viral infections have been informing virology research for years. Estimating parameter values for these models can lead to understanding of biological values. This has been successful in HIV modeling for the estimation of values such as the lifetime of infected CD8 T-Cells. …
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Advancements in Monte Carlo many body methods
… MC-MB methods to have been developed. The algorithmic details of these methods are considered due to their relevance within the MC-MB family of methods. One significant methodological development for the MC-MP methods, the implementation of fourth-order Monte Carlo perturbation theory …