Eigenvalues of Matrices

Bibliografske podrobnosti
Glavni avtor: Chatelin F. Francoise
Izvleček:This revised edition of a classic textbook provides a complete guide to the calculation of eigenvalues of matrices. Written at an accessible level, this modern exposition of the subject presents fundamental aspects of the spectral theory of linear operators in finite dimension. Unique features of this book include a treatment of the convergence of eigensolvers based on the notion of the gap between invariant subspaces, and coverage of the impact of the high nonnormality of a matrix on its eigenvalues. Also included is a new chapter uncovering reasons why matrices are fundamental tools for the information processing that takes place in the dynamical evolution of systems. Some of these ideas appear in print for the first time. The books primary use is as a course text for undergraduate students in mathematics, applied mathematics, physics and engineering. It is also a useful reference for researchers and engineers in industry.
Jezik:angleščina
Izdano: Philadelphia, Siam, 2012
Izdaja:Revised Edition
Serija:Classics in Applied Mathematics Vol. 71
Teme:
Format: Knjiga
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=255187

MARC

LEADER 00000nam0a2200000 4500
001 255187
005 20231101233013.0
010 |a 9781611972450 
035 |a (RuTPU)RU\TPU\book\277691 
090 |a 255187 
100 |a 20140326d2012 k y0engy50 ba 
101 0 |a eng 
102 |a US 
105 |a y z 001zy 
200 1 |a Eigenvalues of Matrices  |f F. Chatelin 
205 |a Revised Edition 
210 |a Philadelphia  |c Siam  |d 2012 
215 |a 410 p.  |c il. 
225 1 |a Classics in Applied Mathematics  |v Vol. 71 
320 |a References: p. 395-405. 
320 |a Index: p. 406-410. 
330 |a This revised edition of a classic textbook provides a complete guide to the calculation of eigenvalues of matrices. Written at an accessible level, this modern exposition of the subject presents fundamental aspects of the spectral theory of linear operators in finite dimension. Unique features of this book include a treatment of the convergence of eigensolvers based on the notion of the gap between invariant subspaces, and coverage of the impact of the high nonnormality of a matrix on its eigenvalues. Also included is a new chapter uncovering reasons why matrices are fundamental tools for the information processing that takes place in the dynamical evolution of systems. Some of these ideas appear in print for the first time. The books primary use is as a course text for undergraduate students in mathematics, applied mathematics, physics and engineering. It is also a useful reference for researchers and engineers in industry. 
606 1 |a Матрицы  |2 stltpush  |3 (RuTPU)RU\TPU\subj\67728  |9 83420 
610 1 |a математика 
610 1 |a матрица 
610 1 |a матричная алгебра 
610 1 |a матричная логика 
610 1 |a матричное исчисление 
610 1 |a значения 
610 1 |a английский язык 
675 |a 512.643  |v 3 
700 1 |a Chatelin  |b F.  |g Francoise 
801 1 |a RU  |b 63413507  |c 20140326 
801 2 |a RU  |b 63413507  |c 20141114  |g RCR 
942 |c BK 
959 |a 44/20140311  |d 1  |e 0  |f ЧЗИЛ:1