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Numerical Linear Algebra and the Applications
DOAB Contributor

Numerical Linear Algebra and the Applications

Author / Organization:
Open Access Books Published 2022 Verification Pending

Overview & Synopsis

Numerical linear algebra is a very important topic in mathematics and has important recent applications in deep learning, machine learning, image processing, applied statistics, artificial intelligence and other interesting modern applications in many fields. The purpose of this Special Issue in Mathematics is to present the latest contributions and recent developments in numerical linear algebra and applications in different real domains. We invite authors to submit original and new papers and high-quality reviews related to the following topics: applied linear algebra, linear and nonlinear systems of equations, large matrix equations, numerical tensor problems with applications, ill-posed problems and image processing, linear algebra and applied statistics, model reduction in dynamic systems, and other related subjects. The submitted papers will be reviewed in line with the traditional submission process. This Special Issue will be dedicated to the inspired mathematician Constantin Petridi, who has devoted his life to mathematics.

Indexed from repository: Directory of Open Access Books (www.doabooks.org)

Document Information

Document Title Numerical Linear Algebra and the Applications
Author / Organization DOAB Contributor
Subject & Discipline inverse scattering
Categories Open Access Books
Publication Year 2022
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website Directory of Open Access Books (www.doabooks.org)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-301913
Original Source Link Visit Source Page on www.doabooks.org »