Date of Award

May 2014

Degree Type

Thesis

Degree Name

Master of Science

Department

Mathematics

First Advisor

Bruce A. Wade

Committee Members

Lei Wang, Istvan G. Lauko

Abstract

Efficient algorithms for solving stiff PDEs are of great interest. For developing such an algorithm step sizes should vary in both space and time. We have to understand each separately first before putting it together, and this thesis is dedicated to developing a sharper notion of the performance of a variable step size BDF2 scheme for some examples. We find suitable parameters for the variable step size algorithm proposed by Jannelli and Fazio in their respective paper concerning adaptive stiff solvers at low accuracy and complexity. Finally, we make a short excursion on the stability of BDF2 for the Allen-Cahn Equation.

Included in

Mathematics Commons

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