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Metrics and norms used for obtaining sparse solutions to underdetermined Systems of Linear Equations

2012/03/20 by Leoni Dalla, Dalla, Leoni, Γεώργιος Παπαγεωργίου +2
Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #Control Systems and Identification #FOS: Mathematics #Functional Analysis (math.FA) #Matrix Theory and Algorithms #Optimization and Control (math.OC) #math.FA #math.OC

paper · pdf · doi:10.48550/arxiv.1203.4579

openalex publication_date 2012/03/20 · arxiv created 2012/04/21 · arxiv updated 2012/04/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

This paper focuses on defining a measure, appropriate for obtaining optimally sparse solutions to underdetermined systems of linear equations.* The general idea is the extension of metrics in n-dimensional spaces via the Cartesian product of metric spaces. *The following work done, was within the completion of my master thesis titled "Algorithms for the computation of sparse solutions of undefined systems of equations" at the department of Mathematics, University of Athens which was assigned to me in association with the department of Informatics and Telecommunications, National and Kapodistrian University of Athens.

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