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Sinopsis
This second edition accounts for many major developments in generalized inverses while maintaining the informal and leisurely style of the 1974 first edition. Added material includes a chapter on applications, new exercises, and an appendix on the work of E.H. Moore.
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Acerca del autor
Adi Ben-Israel is Professor of Operations Research, Business and Mathematics at Rutgers University, New Brunswick, NJ. Previously he was Professor of Applied Mathematics at the University of Delaware, Northwestern University, and the Technion-Israel Institute of Technology.
The late Thomas N.E. Greville was Professor of Mathematics, and a member of the US Army Mathematics Research Center at the University of Wisconsin, Madison, WI.
De la contraportada
The field of generalized inverses has grown much since the appearance of the first edition in 1974, and is still growing. This book accounts for these developments while maintaining the informal and leisurely style of the first edition. New material has been added, including many theoretical results, computational methods, applications, examples and exercises, and an appendix on the work of E.H. Moore.
Adi Ben-Israel is Professor of Operations Research, Business and Mathematics at Rutgers University, New Brunswick, NJ. Previously he was Professor of Applied Mathematics at the University of Delaware, Northwestern University, and the Technion-Israel Institute of Technology.
The late Thomas N.E. Greville was Professor of Mathematics, and a member of the US Army Mathematics Research Center at the University of Wisconsin, Madison, WI.
The authors contributed to the theory, computation and applications of generalized inverses, and did much to popularize the field in the first edition.
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Generalized Inverses: Theory and Applications: 15 (CMS Books in Mathematics)
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Generalized Inverses: Theory and Applications [Second Edition]
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Springer, New York, 2003
ISBN 10: 0387002936
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Hardcover. Condición: Very Good. Second Edition. 24 x 16.5 cm. Octavo. 420pp. Bibliography, author and subject index. Bound in glossy boards. Spotting to covers and foredges. Binding is tight. No markings. Canadian Mathematical Society #15. Nº de ref. del artículo: 73811
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This second edition accounts for many major developments in generalized inverses while maintaining the informal and leisurely style of the 1974 first edition. Added material includes a chapter on applications, new exercises, and an appendix on the work o. Nº de ref. del artículo: 5908831
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Generalized Inverses: Theory and Applications (CMS Books in Mathematics)
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Generalized Inverses
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This second edition accounts for many major developments in generalized inverses while maintaining the informal and leisurely style of the 1974 first edition. Added material includes a chapter on applications, new exercises, and an appendix on the work of E.H. Moore. 440 pp. Englisch. Nº de ref. del artículo: 9780387002934
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Generalized Inverses: Theory and Applications (CMS Books in Mathematics)
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Generalized Inverses : Theory and Applications
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 1. The Inverse of a Nonsingular Matrix It is well known that every nonsingular matrix A has a unique inverse, 1 denoted by A , such that 1 1 AA = A A =I, (1) where I is the identity matrix. Of the numerous properties of the inverse matrix, we mention a few. Thus, 1 1 (A ) = A, T 1 1 T (A ) =(A ) , 1 1 (A ) =(A ) , 1 1 1 (AB) = B A , T where A and A , respectively, denote the transpose and conjugate tra- pose of A. It will be recalled that a real or complex number is called an eigenvalue of a square matrix A, and a nonzero vector x is called an eigenvector of A corresponding to ,if Ax = x. 1 Another property of the inverse A is that its eigenvalues are the recip- cals of those of A. 2. Generalized Inverses of Matrices A matrix has an inverse only if it is square, and even then only if it is nonsingular or, in other words, if its columns (or rows) are linearly in- pendent. In recent years needs have been felt in numerous areas of applied mathematics for some kind of partial inverse of a matrix that is singular or even rectangular. Nº de ref. del artículo: 9780387002934
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