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Fundamentals of Matrix Computations - Tapa dura

 
9781774071441: Fundamentals of Matrix Computations
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ISBN 10: 1774071444 ISBN 13: 9781774071441
Editorial: Arcler Press, 2019

Sinopsis

Fundamentals of Matrix Computations deals with the concept of matrix computations, a technique of singular value homogenization and its application in medical therapy. It consists of modern iterative methods to generalize the issues associated with singular-value homogenization. It provides the reader with the understanding of matrix computations and preconditioning technique of singular value homogenization so as to analyze its potential applications in the field of medical therapy and the use of efficient numerical methods so as to solve the problems linked with nonlinear singular boundary value by using improved differential transform method. This book also discusses about blind distributed estimation algorithms for adaptive networks, a dft-based approximate eigenvalue and singular value decomposition of polynomial matrices, sparse signal subspace decomposition based on adaptive over-complete dictionary, lower bounds for the low-rank matrix approximation and a semi-smoothing augmented lagrange multiplier algorithm for low-rank toeplitz matrix completion.

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Acerca del autor

Olga Moreira obtained her Ph.D. in Astrophysics from the University of Liege (Belgium) in 2010, her BSc. in Physics and Applied Mathematics from the University of Porto (Portugal). Her post-graduate travels and international collaborations with the European Space Agency (ESA) and European Southern Observatory (ESO) led to great personal and professional growth as a scientist. Currently, she is working as an independent researcher, technical writer, and editor in the fields of Mathematics, Physics, Astronomy and Astrophysics.

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Editorial
Arcler Press
Año de publicación
2019
Idioma
Inglés
ISBN 10 
1774071444
ISBN 13 
9781774071441
Encuadernación
Tapa dura
Número de páginas
335
Editor
Moreira Olga
Contacto del fabricante
no disponible
Persona responsable
no disponible