2026-09-19T18:38:29Zhttps://wakespace.lib.wfu.edu/server/oai/requestoai:null:10339/907642026-09-02T14:16:12Zcom_10339_14934col_10339_38132
Rouse, Kathryn Margaret Zuhr
2018-05-24T08:36:20Z
2018-05-24T08:36:20Z
2018
https://wakespace.lib.wfu.edu/handle/10339/90764
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.
en
Wake Forest University
Algorithms
Communication Complexity
Multilinear Algebra
Tensors
ON THE EFFICIENCY OF ALGORITHMS FOR TENSOR DECOMPOSITIONS AND THEIR APPLICATIONS
Thesis
Ballard, Grey
John, David
Plemmons, Robert J
Computer Science
open.access