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Numerical Linear Algebra for Applications in Statistics (Statistics and Computing) - Tapa dura

Libro 23 de 37: Statistics and Computing

Gentle, James E.

 
9780387985428: Numerical Linear Algebra for Applications in Statistics (Statistics and Computing)
Tapa dura
ISBN 10: 0387985425 ISBN 13: 9780387985428
Editorial: Springer, 1998

Sinopsis

Accurate and efficient computer algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors. Regardless of the software system used, the book describes and gives examples of the use of modern computer software for numerical linear algebra. It begins with a discussion of the basics of numerical computations, and then describes the relevant properties of matrix inverses, factorisations, matrix and vector norms, and other topics in linear algebra. The book is essentially self- contained, with the topics addressed constituting the essential material for an introductory course in statistical computing. Numerous exercises allow the text to be used for a first course in statistical computing or as supplementary text for various courses that emphasise computations.

"Sinopsis" puede pertenecer a otra edición de este libro.

Críticas

From a review:

JOURNAL OF AMERICAN STATISTICAL ASSOCIATION

"Gentle brings to this book (as well as his other recent books on further aspects of statistical computing) his vast knowledge and experience in the mathematics of scientific computing, the practical aspects of software development, and teaching. The presentation is exceptionally clear and well-sign-boarded. ...The writing style, though very precise, conveys a warmth and enthusiasm that will appeal to students."

 

Reseña del editor

Accurate and efficient computer algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors. Regardless of the software system used, the book describes and gives examples of the use of modern computer software for numerical linear algebra. It begins with a discussion of the basics of numerical computations, and then describes the relevant properties of matrix inverses, factorisations, matrix and vector norms, and other topics in linear algebra. The book is essentially self- contained, with the topics addressed constituting the essential material for an introductory course in statistical computing. Numerous exercises allow the text to be used for a first course in statistical computing or as supplementary text for various courses that emphasise computations.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
1998
Idioma
Inglés
ISBN 10 
0387985425
ISBN 13 
9780387985428
Encuadernación
Tapa dura
Número de páginas
240
Contacto del fabricante
ProductSafety@springernature.com
ProductSafety@springernature.com

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Darmstadt
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Alemania