Repository logo
 

Fast and accurate double-higher-order method of moments accelerated by Diakoptic Domain Decomposition and memory efficient parallelization for high performance computing systems

dc.contributor.authorManić, Ana, author
dc.contributor.authorNotaros, Branislav, advisor
dc.contributor.authorReising, Steven, committee member
dc.contributor.authorOprea, Iuliana, committee member
dc.contributor.authorRoy, Sourajeet, committee member
dc.contributor.authorIlić, Milan, committee member
dc.date.accessioned2016-01-11T15:14:07Z
dc.date.available2018-01-31T06:30:24Z
dc.date.issued2015
dc.description.abstractTo view the abstract, please see the full text of the document.
dc.format.mediumborn digital
dc.format.mediumdoctoral dissertations
dc.identifier.urihttp://hdl.handle.net/10217/170428
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
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.subjectdomain decomposition
dc.subjectfinite element method
dc.subjecthigh performance computing
dc.subjectmethod of moments
dc.subjectparallel methods
dc.titleFast and accurate double-higher-order method of moments accelerated by Diakoptic Domain Decomposition and memory efficient parallelization for high performance computing systems
dc.typeText
dcterms.embargo.expires2019-01-31
dcterms.embargo.terms2019-01-31
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.)

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Manic_colostate_0053A_13405.pdf
Size:
5.86 MB
Format:
Adobe Portable Document Format
Description: