Temporal and Pseudo-Temporal Numerical Integration Methods

dc.contributor.advisorC. T. Kelley, Committee Memberen_US
dc.contributor.advisorC. S. Woodward, Committee Memberen_US
dc.contributor.advisorD. S. McRae, Committee Memberen_US
dc.contributor.advisorM. Shearer, Committee Memberen_US
dc.contributor.advisorP. A. Gremaud, Committee Memberen_US
dc.contributor.authorCoffey, Todd Stirlingen_US
dc.date.accessioned2010-04-02T19:09:36Z
dc.date.available2010-04-02T19:09:36Z
dc.date.issued2002-10-28en_US
dc.degree.disciplineMathematicsen_US
dc.degree.leveldissertationen_US
dc.degree.namePhDen_US
dc.description.abstractNumerical methods for integrating partial differential equations are used in nearly every scientific field. In this dissertation we study two types of numerical integration methods, transient methods and pseudo-transient methods. Transient methods for partial differential equations look for time-accurate solutions that explain the evolution of the equation (although a steady state solution may evolve). Pseudo-transient methods look for steady-state solutions of partial differential equations while paying attention to the transient behavior to aid in stability. In contrast, root-finding methods, e.g. line-search methods, look only for a steady-state solution often not paying attention at all to the transient behavior of the problem. Pseudo-transient continuation is a method for solving steady state solutions of partial differential equations, and is used when traditional line-search methods fail to converge or converge to non-physical solutions. The method is a hybrid between implicit Euler and Newton's method where variable step-sizes are used to transfer from one method to the other. We demonstrate the performance of pseudo-transient continuation both numerically and theoretically on a variety of problems. We extend the global convergence theory, which currently covers a class of ordinary differential equations, to include a class of semi-explicit index-1 differential-algebraic equations. We also studied CVode, a transient code for solving nonlinear partial differential equations. In this work, we explain how CVode was extended to allow for a two-grid nonlinear solver. The two-grid solver coarsens a given mesh and solves the nonlinear problem on the coarse mesh, which is then moved back to the fine mesh for refining. This approach can be less expensive than computing the full nonlinear solution on the fine mesh. We explore some of the theoretical and computational issues involved in implementing this method for a radiative transfer problem as might be seen in stellar fusion.en_US
dc.identifier.otheretd-08042002-140025en_US
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.16/5209
dc.rightsI hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.en_US
dc.subjectinterpolationen_US
dc.subjectPTCen_US
dc.subjecthyperbolicen_US
dc.subjectellipticen_US
dc.subjectDAEen_US
dc.subjectCFDen_US
dc.titleTemporal and Pseudo-Temporal Numerical Integration Methodsen_US

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