Structured Matrices and Polynomials
By Victor Y. Pan. 2001
197 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/0e343cf071214253b8907ebdcfdc948af411489a
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In Computational Theory and Mathematics
In Statistical and Nonlinear Physics
Citations in the corpus
- Learning compact recurrent neural networks (2016, background): “Recently, [10] proposed a new family of parameter sharing schemes for small-footprint deep learning based on structured matrices characterized by the notion of displacement operators [16].”
- Structured Transforms for Small-Footprint Deep Learning (2015, background): “Fast numerical linear algebra algorithms extend to such matrices [18].”
- Structured matrices and newton's iteration: unified approach (2000, methodology): “We refer the reader to [4, 32 ] on property (3), will specify properties (1) and (2) in”