Title
Off-Lattice Pattern Recognition Scheme For Kinetic Monte Carlo Simulations
Keywords
ℓ -minimization q; Compressive sampling; Sparse signal
Abstract
In this paper, it is proved that every s-sparse vector x∈ℝ n can be exactly recovered from the measurement vector z=Ax∈ Rm via some ℓ q-minimization with 0
Publication Date
5-1-2012
Publication Title
Journal of Computational Physics
Volume
231
Issue
3
Number of Pages
3548-3560
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1016/j.jcp.2011.12.029
Copyright Status
Unknown
Socpus ID
84857787845 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84857787845
STARS Citation
Nandipati, Giridhar; Kara, Abdelkader; Shah, Syed Islamuddin; and Rahman, Talat S., "Off-Lattice Pattern Recognition Scheme For Kinetic Monte Carlo Simulations" (2012). Scopus Export 2010-2014. 5262.
https://stars.library.ucf.edu/scopus2010/5262