The cover number of a matrix and its algorithmic applications
Given a matrix A, we study how many epsilon-cubes are required to cover the convex hull of the columns of A. We show bounds on this cover number in terms of VC dimension and the gamma_2 norm and give algorithms for enumerating elements of a cover. This leads to algorithms for computing approximate N...
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Format: | Journal Article |
Language: | English |
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2018
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Online Access: | https://hdl.handle.net/10356/87666 http://hdl.handle.net/10220/46788 |
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author | Lee, Troy Alon, Noga Shraibman, Adi |
author2 | School of Physical and Mathematical Sciences |
author_facet | School of Physical and Mathematical Sciences Lee, Troy Alon, Noga Shraibman, Adi |
author_sort | Lee, Troy |
collection | NTU |
description | Given a matrix A, we study how many epsilon-cubes are required to cover the convex hull of the columns of A. We show bounds on this cover number in terms of VC dimension and the gamma_2 norm and give algorithms for enumerating elements of a cover. This leads to algorithms for computing approximate Nash equilibria that unify and extend several previous results in the literature. Moreover, our approximation algorithms can be applied quite generally to a family of quadratic optimization problems that also includes finding the k-by-k combinatorial rectangle of a matrix. In particular, for this problem we give the first quasi-polynomial time additive approximation algorithm that works for any matrix A in [0,1]^{m x n}. |
first_indexed | 2024-10-01T05:22:45Z |
format | Journal Article |
id | ntu-10356/87666 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T05:22:45Z |
publishDate | 2018 |
record_format | dspace |
spelling | ntu-10356/876662023-02-28T19:23:47Z The cover number of a matrix and its algorithmic applications Lee, Troy Alon, Noga Shraibman, Adi School of Physical and Mathematical Sciences Approximate Nash Equilibria Approximation Algorithms DRNTU::Science::Mathematics Given a matrix A, we study how many epsilon-cubes are required to cover the convex hull of the columns of A. We show bounds on this cover number in terms of VC dimension and the gamma_2 norm and give algorithms for enumerating elements of a cover. This leads to algorithms for computing approximate Nash equilibria that unify and extend several previous results in the literature. Moreover, our approximation algorithms can be applied quite generally to a family of quadratic optimization problems that also includes finding the k-by-k combinatorial rectangle of a matrix. In particular, for this problem we give the first quasi-polynomial time additive approximation algorithm that works for any matrix A in [0,1]^{m x n}. NRF (Natl Research Foundation, S’pore) Published version 2018-12-04T05:29:15Z 2019-12-06T16:46:50Z 2018-12-04T05:29:15Z 2019-12-06T16:46:50Z 2014 Journal Article Alon, N., Lee, T., & Shraibman, A. (2014). The cover number of a matrix and its algorithmic applications. LIPIcs–Leibniz International Proceedings in Informatics, 34-47. doi:10.4230/LIPIcs.APPROX-RANDOM.2014.34 https://hdl.handle.net/10356/87666 http://hdl.handle.net/10220/46788 10.4230/LIPIcs.APPROX-RANDOM.2014.34 en LIPIcs–Leibniz International Proceedings in Informatics © 2014 The Author(s) (Leibniz International Proceedings in Informatics). Licensed under Creative Commons License CC-BY. 14 p. application/pdf |
spellingShingle | Approximate Nash Equilibria Approximation Algorithms DRNTU::Science::Mathematics Lee, Troy Alon, Noga Shraibman, Adi The cover number of a matrix and its algorithmic applications |
title | The cover number of a matrix and its algorithmic applications |
title_full | The cover number of a matrix and its algorithmic applications |
title_fullStr | The cover number of a matrix and its algorithmic applications |
title_full_unstemmed | The cover number of a matrix and its algorithmic applications |
title_short | The cover number of a matrix and its algorithmic applications |
title_sort | cover number of a matrix and its algorithmic applications |
topic | Approximate Nash Equilibria Approximation Algorithms DRNTU::Science::Mathematics |
url | https://hdl.handle.net/10356/87666 http://hdl.handle.net/10220/46788 |
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