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Improvements in computational electromagnetics solver efficiency: theoretical and data-driven approaches to accelerate full-wave and ray-based methods

dc.contributor.authorKey, Cam, author
dc.contributor.authorNotaros, Branislav, advisor
dc.contributor.authorPezeshki, Ali, committee member
dc.contributor.authorEstep, Donald, committee member
dc.contributor.authorIlić, Milan, committee member
dc.date.accessioned2021-01-11T11:21:06Z
dc.date.available2022-01-08T11:21:06Z
dc.date.issued2020
dc.description.abstractSimulation plays an ever-increasing role in modern electrical engineering design. However, the computational electromagnetics solvers on which these simulations rely are often inefficient. For simulations requiring high accuracy, full-wave techniques like finite element method and method of moments dominate, yet existing practices for these techniques frequently allocate degrees of freedom sub-optimally, yielding longer solve times than necessary for a given accuracy. For larger-scale simulations, frequency-asymptotic methods like shooting-bouncing ray tracing dominate, yet existing algorithms suffer from incomplete parallelizability and are consequently unable to take full advantage of modern massively parallel computing resources. We present several approaches, both theoretical and empirical, to address these efficiency problems.
dc.format.mediumborn digital
dc.format.mediumdoctoral dissertations
dc.identifierKey_colostate_0053A_16356.pdf
dc.identifier.urihttps://hdl.handle.net/10217/219624
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2020-
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.titleImprovements in computational electromagnetics solver efficiency: theoretical and data-driven approaches to accelerate full-wave and ray-based methods
dc.typeText
dcterms.embargo.expires2022-01-08
dcterms.embargo.terms2022-01-08
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorColorado State University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy (Ph.D.)

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