Ferreyra, DE.; Levis, F.; Thome, N. (2018). Maximal classes of matrices determining generalized inverses. Applied Mathematics and Computation. 333:42-52. https://doi.org/10.1016/j.amc.2018.03.102
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/143889
Title:
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Maximal classes of matrices determining generalized inverses
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Author:
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Ferreyra, David Eduardo
Levis, Fabian
Thome, Néstor
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UPV Unit:
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Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
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Issued date:
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Abstract:
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[EN] This paper derives some further results on recent generalized inverses studied in the literature, namely core EP, DMP, and CMP inverses. Our main aim is to develop maximal classes of matrices for which their representations ...[+]
[EN] This paper derives some further results on recent generalized inverses studied in the literature, namely core EP, DMP, and CMP inverses. Our main aim is to develop maximal classes of matrices for which their representations remain valid. (C) 2018 Elsevier Inc. All rights reserved.
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Subjects:
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Generalized inverses
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Core EP inverse
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DMP inverse
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CMP inverse
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Copyrigths:
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Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
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Source:
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Applied Mathematics and Computation. (issn:
0096-3003
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DOI:
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10.1016/j.amc.2018.03.102
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Publisher:
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Elsevier
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Publisher version:
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https://doi.org/10.1016/j.amc.2018.03.102
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Project ID:
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info:eu-repo/grantAgreement/AEI//MTM2017-90682-REDT/ES/RED TEMATICA DE ALGEBRA LINEAL, ANALISIS MATRICIAL Y APLICACIONES/
info:eu-repo/grantAgreement/CONICET//PIP 11220150100433CO/
info:eu-repo/grantAgreement/UNRC//PPI 18%2FC472/
info:eu-repo/grantAgreement/MINECO//MTM2013-43678-P/ES/ANALISIS DE MODELOS MATEMATICOS CON COEFICIENTES MATRICIALES: FUNDAMENTOS TEORICOS Y APLICACIONES/
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Thanks:
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Partially supported by a CONICET's Posdoctoral Research Fellowship, UNRC (grant PPI 18/C472) and CONICET (grant PIP 112-201501-00433CO).
Partially supported by Ministerio de Economia y Competitividad of Spain (Grants ...[+]
Partially supported by a CONICET's Posdoctoral Research Fellowship, UNRC (grant PPI 18/C472) and CONICET (grant PIP 112-201501-00433CO).
Partially supported by Ministerio de Economia y Competitividad of Spain (Grants DGI MTM2013-43678-P and Red de Excelencia MTM2017-90682-REDT).
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Type:
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Artículo
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