On Fire. Dissertation for the Master’s Degree

Dissertation for the degree of philosophiae doctor

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In Candidacy for the degree of Masters of Science

Finite Element Methods are a popular method for solving Partial Differential Equations. Unlike Ordinary Differential Equations, there has not been a complete solution to automating any simulation. Here we provide a discussion on the trends in automation of FEM methods, some challenges to automation, and a novel computational study of different methods solving Stokes Equations made possible thro...

Degree Papers for Masters in Statistics — EbayesThresh with Heterogeneous Variance

This paper is an extension of EbayesThresh (the empirical bayesian thresholding method) under assumption of data with homogeneous standard deviation noises described in Johnstone and Silverman (2004)[1]. We ease this restriction, allowing heterogeneous standard deviation of noises, and provide details in estimating the true effects with posterior estimator, e.g. posterior mean or posterior medi...

Feedback Guided Load Balancing in Distributed Memory Environments ——————————– Masters Dissertation

Any code that parallelizes computational work is required to come up with a method to load balance the work across the available processors. Most codes of this nature use some heuristic to decide how to perform this load balancing. In essence, they must have a (cheap) method of coming up with a number to act as a proxy for dividing up the actual computational work. For some applications that us...

Dissertation for the degree philosophiae doctor ( PhD ) at the University of Bergen Dissertation date :