A Parallel Computing Method for the Computation of the Moore–Penrose Generalized Inverse for Shared-Memory Architectures-Reference-Cited by-同舟云学术

A Parallel Computing Method for the Computation of the Moore–Penrose Generalized Inverse for Shared-Memory Architectures

Published:2023 Issue: Volume:11 Page:134834-134845
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Gelvez-Almeida Elkin¹^ORCID,Barrientos Ricardo J.²^ORCID,Vilches-Ponce Karina²,Mora Marco²^ORCID

Affiliation:

1. Doctorado en Modelamiento Matemático Aplicado, Universidad Católica del Maule, Talca, Chile

2. Laboratory of Technological Research in Pattern Recognition (LITRP), Facultad de Ciencias de la Ingeniería, Universidad Católica del Maule, Talca, Chile

Funder

National Agency for Research and Development (ANID)/Scholarship Program/BECAS DOCTORADO NACIONAL/2020

ANID Subdirección de Investigación Aplicada/Concurso IDeA I+D 2023

Research Project ANID FONDECYT REGULAR 2020 “Very Large Fingerprint Classification Based on a Fast and Distributed Extreme Learning Machine,” Government of Chile

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10336814.pdf?arnumber=10336814

Reference30 articles.

1. The Moore–Penrose Pseudoinverse: A Tutorial Review of the Theory

2. A Matrix Algebra Approach to Artificial Intelligence

3. Random vector functional link network: Recent developments, applications, and future directions

4. Fast computation of Moore–Penrose inverse matrices;Courrieu;Neural Inf. Process.-Lett. Rev.,2005

5. Particular formulae for the Moore–Penrose inverse of a columnwise partitioned matrix

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