Efficient computation of Jacobian matrices for entropy stable summation by parts schemes

dc.contributor.advisorChan, Jesseen_US
dc.creatorTaylor, Christina Gabrielleen_US
dc.date.accessioned2022-10-11T19:20:54Zen_US
dc.date.available2022-10-11T19:20:54Zen_US
dc.date.created2021-08en_US
dc.date.issued2021-06-22en_US
dc.date.submittedAugust 2021en_US
dc.date.updated2022-10-11T19:20:54Zen_US
dc.description.abstractThis work presents efficient formulas for the computation of Jacobian matrices arising from entropy stable summation-by-parts schemes. Competing methods for computing Jacobian matrices include finite difference, automatic differentiation, graph coloring, and Jacobian-free Newton-Krylov methods. In contrast to these methods the formulas proposed provide a sparsity-informed method for computing Jacobian matrices that are free of truncation error. Computational timings confirm that the proposed formulas scale very robustly with respect to the size of the system and easily outperform existing methods on denser Jacobian matrices. Two applications of Jacobian matrices, two-derivative and implicit time stepping, are also explored in numerical experiments with Burgers' and the shallow water equations.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationTaylor, Christina Gabrielle. "Efficient computation of Jacobian matrices for entropy stable summation by parts schemes." (2021) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/113688">https://hdl.handle.net/1911/113688</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/113688en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectJacobianen_US
dc.subjectEntropy stableen_US
dc.subjectSummation by partsen_US
dc.titleEfficient computation of Jacobian matrices for entropy stable summation by parts schemesen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentComputational and Applied Mathematicsen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Artsen_US
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