Provably optimal sparse solutions to overdetermined linear systems with non-negativity constraints in a least-squares sense by implicit enumeration
type: Item
instance of: scholarly article
title: Provably optimal sparse solutions to overdetermined linear systems with non-negativity constraints in a least-squares sense by implicit enumeration
zbMATH Open document ID: 1478.65028
author: Fatih S. Aktaş
author: Ömer Ekmekcioglu
author: Mustafa Ç. Pınar
published in: Optimization and Engineering
publication date: 2022-01-20T00:00:00Z
full work available at URL: http://hdl.handle.net/11693/77222
Mathematics Subject Classification ID: 65F20
Mathematics Subject Classification ID: 65F22
Mathematics Subject Classification ID: 65K05
Mathematics Subject Classification ID: 90C26
zbMATH DE Number: 7460645
zbMATH Keywords: inverse problems
zbMATH Keywords: sparse approximation
zbMATH Keywords: overdetermined linear systems
zbMATH Keywords: sparse solutions
zbMATH Keywords: branch and bound
zbMATH Keywords: implicit enumeration
zbMATH Keywords: non-negative least squares
describes a project that uses: Gurobi
describes a project that uses: CPLEX
describes a project that uses: CVXPY
describes a project that uses: SciPy
describes a project that uses: Guppy 3
describes a project that uses: GitHub
describes a project that uses: Python
MaRDI profile type: Publication
OpenAlex ID: W3198584745
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DOI: 10.1007/S11081-021-09676-2
description: scientific article; zbMATH DE number 7460645