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A Near-Optimal Sampling Strategy for Sparse Recovery of Polynomial Chaos
  Expansions
v1v2 (latest)

A Near-Optimal Sampling Strategy for Sparse Recovery of Polynomial Chaos Expansions

25 February 2017
Negin Alemazkoor
Hadi Meidani
ArXiv (abs)PDFHTML

Papers citing "A Near-Optimal Sampling Strategy for Sparse Recovery of Polynomial Chaos Expansions"

3 / 3 papers shown
Title
Divide and Conquer: An Incremental Sparsity Promoting Compressive
  Sampling Approach for Polynomial Chaos Expansions
Divide and Conquer: An Incremental Sparsity Promoting Compressive Sampling Approach for Polynomial Chaos Expansions
Negin Alemazkoor
Hadi Meidani
40
26
0
21 Jun 2016
Enhancing Sparsity of Hermite Polynomial Expansions by Iterative
  Rotations
Enhancing Sparsity of Hermite Polynomial Expansions by Iterative Rotations
Xiu Yang
H. Lei
Nathan A. Baker
Guang Lin
43
53
0
14 Jun 2015
Message Passing Algorithms for Compressed Sensing
Message Passing Algorithms for Compressed Sensing
D. Donoho
A. Maleki
Andrea Montanari
106
2,357
0
21 Jul 2009
1