Year: 2016
Type: article
Authors: Ke Ye, Lek-Heng Lim
Institution: University of Chicago
Language: English
Topic: Matrix Theory and Algorithms
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Awards: G1523888516, CAREER: Numerical Multilinear Algebra and Its Applications - From Matrices to Tensors, Collaborative Research: Numerical algebra and statistical inference, AF: Small: Geometric Complexity Theory Approach to the P vs NP problem, G2771606194, G4199670578, G4320153963, G4472065575, BIGDATA: Collaborative Research: F: Big Data, It's Not So Big: Exploiting Low-Dimensional Geometry for Learning and Inference, G7915993810, G8648528696
OpenAlex ID: W2964309316
