Date of Award

Fall 2020

Degree Type

Masters Thesis

Degree Name

Master of Science (MS)

School

Mathematics and Natural Sciences

Committee Chair

Dr. James V. Lambers

Committee Chair School

Mathematics and Natural Sciences

Committee Member 2

Dr. Haiyan Tian

Committee Member 2 School

Mathematics and Natural Sciences

Committee Member 3

Dr. Huiqing Zhu

Committee Member 3 School

Mathematics and Natural Sciences

Abstract

Krylov subspace spectral (KSS) methods are high-order accurate, explicit time-stepping methods for partial differential equations (PDEs) that also possess the stability characteristic of implicit methods. Unlike other time-stepping approaches, KSS methods compute each Fourier coefficient of the solution from an individualized approximation of the solution operator of the PDE. As a result, KSS methods scale effectively to higher spatial resolution. This thesis will present a stability analysis of a first-order KSS method applied to the wave equation in inhomogeneous media.

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