{"id":{"repo_id":"wfu","oai_identifier":"oai:wakespace.lib.wfu.edu:10339/90764"},"canonical_url":"https://search.dev.ndltd.org/etd/wfu/oai:wakespace.lib.wfu.edu:10339/90764","repository":{"repo_id":"wfu","name":"Wake Forest University","base_url":"https://wakespace.lib.wfu.edu/oai/request"},"display":{"title":"ON THE EFFICIENCY OF ALGORITHMS FOR TENSOR DECOMPOSITIONS AND THEIR APPLICATIONS","abstract":"Multi-dimensional arrays, or tensors, are fundamental objects in computational science for their ability to store multi-dimensional data and to encode bilinear forms. We will consider algorithms and applications of the CP and Tucker tensor decompositions, focusing our efforts on optimizing subroutines required to compute tensor decompositions.","abstract_html":"Multi-dimensional arrays, or tensors, are fundamental objects in computational science for their ability to store multi-dimensional data and to encode bilinear forms. We will consider algorithms and applications of the CP and Tucker tensor decompositions, focusing our efforts on optimizing subroutines required to compute tensor decompositions.","abstract_has_math":false,"creators":["Rouse, Kathryn Margaret Zuhr"],"institution":"Wake Forest University","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018","date_published":"2018","updated_at":"2026-07-27T22:02:23Z","subjects":["Algorithms"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10339/90764","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Rouse, Kathryn Margaret Zuhr"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2018-05-24T08:36:20Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2018-05-24T08:36:20Z"]},{"key":"dc:date.issued","label":"Date","values":["2018"]},{"key":"dc:publisher","label":"Institution","values":["Wake Forest University"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Algorithms"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10339/90764"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Multi-dimensional arrays, or tensors, are fundamental objects in computational science for their ability to store multi-dimensional data and to encode bilinear forms. We will consider algorithms and applications of the CP and Tucker tensor decompositions, focusing our efforts on optimizing subroutines required to compute tensor decompositions."]},{"key":"dc:title","label":"Title","values":["ON THE EFFICIENCY OF ALGORITHMS FOR TENSOR DECOMPOSITIONS AND THEIR APPLICATIONS"]}]}],"canonical_facts":{"dc:creator":["Rouse, Kathryn Margaret Zuhr"],"dc:date.accessioned":["2018-05-24T08:36:20Z"],"dc:date.available":["2018-05-24T08:36:20Z"],"dc:date.issued":["2018"],"dc:description.abstract":["Multi-dimensional arrays, or tensors, are fundamental objects in computational science for their ability to store multi-dimensional data and to encode bilinear forms. We will consider algorithms and applications of the CP and Tucker tensor decompositions, focusing our efforts on optimizing subroutines required to compute tensor decompositions."],"dc:identifier.uri":["http://hdl.handle.net/10339/90764"],"dc:language.iso":["en"],"dc:publisher":["Wake Forest University"],"dc:subject":["Algorithms"],"dc:title":["ON THE EFFICIENCY OF ALGORITHMS FOR TENSOR DECOMPOSITIONS AND THEIR APPLICATIONS"],"dc:type":["Thesis"]},"updated_at":"2026-07-27T22:02:23Z"}