Matrix Sparsification and the Sparse Null Space Problem

Lee Ad Gottlieb; Tyler Neylon

doi:10.1007/s00453-015-0042-6

Matrix Sparsification and the Sparse Null Space Problem

Lee Ad Gottlieb, Tyler Neylon

Ariel University

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

We revisit the matrix problems sparse null space and matrix sparsification, and show that they are equivalent. We then proceed to seek algorithms for these problems: we prove the hardness of approximation of these problems, and also give a powerful tool to extend algorithms and heuristics for sparse approximation theory to these problems.

Original language	English
Pages (from-to)	426-444
Number of pages	19
Journal	Algorithmica
Volume	76
Issue number	2
DOIs	https://doi.org/10.1007/s00453-015-0042-6
State	Published - 1 Oct 2016

Keywords

Matrix sparsification
Sparse approximation
Sparse null space

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10.1007/s00453-015-0042-6

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Matrix Sparsification and the Sparse Null Space Problem

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Keywords

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