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dc.identifier.urihttp://hdl.handle.net/11401/78486
dc.description.sponsorshipThis work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree.en_US
dc.formatMonograph
dc.format.mediumElectronic Resourceen_US
dc.typeDissertation
dcterms.available2018-11-12T17:50:30Z
dcterms.contributorSamulyak, Romanen_US
dcterms.creatorWang, Xingyu
dcterms.dateAccepted2018-11-12T17:50:30Z
dcterms.dateSubmitted2018-11-12T17:50:30Z
dcterms.descriptionDepartment of Applied Mathematics and Statistics.en_US
dcterms.extent156 pg.en_US
dcterms.formatMonograph
dcterms.identifierhttp://hdl.handle.net/11401/78486
dcterms.issued2018-01-05
dcterms.issued2018
dcterms.provenanceMade available in DSpace on 2018-11-12T17:50:30Z (GMT). No. of bitstreams: 1 WANG_grad.sunysb_0771E_13712.pdf: 1328606 bytes, checksum: 37c5c806b17cbf74b986566acd2541ef (MD5) Previous issue date: 2018-01-05en
dcterms.subjectApplied mathematics
dcterms.titleAdaptive Lagrangian Particle Algorithms for Partial Differential Equations and Applications
dcterms.typeDissertation


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