Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/27526
ชื่อเรื่อง: Method of Lagrange Multipliers for Normalized Zero Norm Minimization
ผู้แต่ง: Tausiesakul B.
Keywords: Iterative methods
Compressive sensing
Fixed-point iterations
Iteration algorithms
Lagrange multiplier method
Minimisation
New solutions
Normalisation
Optimization framework
Zero norms
Lagrange multipliers
วันที่เผยแพร่: 2022
บทคัดย่อ: We present a normalization of the p-norm. A compressive sensing criterion is proposed using the normalized zero norm. Based on the method of Lagrange multipliers, we derive the solution of the proposed optimization framework. It turns out that the new solution is a limit case of the least fractional norm solution for p=0, where its fixed-point iteration algorithm can readily follow an existing algorithm. The derivation of the minimal normalized zero norm solution herein gives a relation in the aspect of Lagrange multiplier method to existing works that invoke least fractional norm and least pseudo zero norm criteria. © 2022 Bamrung Tausiesakul.
URI: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124107846&doi=10.1155%2f2022%2f8711843&partnerID=40&md5=e2e5cb87a3a3e22476be333a600fd793
https://ir.swu.ac.th/jspui/handle/123456789/27526
ISSN: 1024123X
Appears in Collections:Scopus 2022

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