Sean Colin-Ellerin

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We introduce the theory of distributions and examine their relation to the Fourier transform. We then use this machinery to find solutions to linear partial differential equations, in particular, fundamental solutions to partial differential operators. Finally, we develop Sobolev spaces in order to study the relationship between the regularity of a partial(More)
The goal of this project is to investigate the capabilities of two different optimization techniques for the task of approximating an optimal solution for a set of edges for a node network. The two methods we are examining are genetic algorithms, which use the principles of evolution by natural selection to 'grow' better solutions and and stochastic(More)
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