Lanczos algorithms for large symmetric eigenvalue computations. Vol. 1, Theory /
Saved in:
Author / Creator: | Cullum, Jane K., 1938- |
---|---|
Imprint: | Philadelphia, Pa. : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), 2002. |
Description: | 1 online resource (xx, 273 pages : illustrations) : digital file |
Language: | English |
Series: | Classics in applied mathematics ; 41 Classics in applied mathematics ; 41. |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/12577168 |
MARC
LEADER | 00000cam a2200000Ia 4500 | ||
---|---|---|---|
001 | 12577168 | ||
005 | 20210730044534.3 | ||
006 | m eo d | ||
007 | cr bn||||m|||a | ||
008 | 101220r20021985paua fob 001 0 eng d | ||
010 | |z 2002075847 | ||
019 | |a 1086526482 |a 1151746130 |a 1239685587 |a 1247682963 | ||
020 | |a 9780898719192 |q (electronic bk.) | ||
020 | |a 0898719194 |q (electronic bk.) | ||
020 | |z 9780898715231 |q (print) | ||
020 | |z 0898715237 |q (pbk.) | ||
024 | 7 | |a CL41 |2 siam | |
028 | 5 | 0 | |a CL41 |b siam |
035 | |a (OCoLC)693772732 |z (OCoLC)1086526482 |z (OCoLC)1151746130 |z (OCoLC)1239685587 |z (OCoLC)1247682963 | ||
035 | 9 | |a (OCLCCM-CC)693772732 | |
040 | |a CaBNvSL |b eng |c J2I |d J2I |d CUS |d OCLCQ |d OCLCF |d UIU |d OCLCQ |d TKN |d OCLCQ |d OCLCO |d OCLCQ |d LEAUB |d UKBTH |d LIP | ||
049 | |a MAIN | ||
050 | 4 | |a QA193 |b .C84 2002eb | |
100 | 1 | |a Cullum, Jane K., |d 1938- |0 http://id.loc.gov/authorities/names/n81084978 |1 http://viaf.org/viaf/108445414 | |
245 | 1 | 0 | |a Lanczos algorithms for large symmetric eigenvalue computations. |n Vol. 1, |p Theory / |c Jane K. Cullum, Ralph A. Willoughby. |
260 | |a Philadelphia, Pa. : |b Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), |c 2002. | ||
300 | |a 1 online resource (xx, 273 pages : illustrations) : |b digital file | ||
336 | |a text |b txt |2 rdacontent |0 http://id.loc.gov/vocabulary/contentTypes/txt | ||
337 | |a computer |b c |2 rdamedia |0 http://id.loc.gov/vocabulary/mediaTypes/c | ||
338 | |a online resource |b cr |2 rdacarrier |0 http://id.loc.gov/vocabulary/carriers/cr | ||
490 | 1 | |a Classics in applied mathematics ; |v 41 | |
588 | 0 | |a Title page of print version. | |
500 | |a Originally published: Boston : Birkhäuser, 1985-, in series: Progress in scientific computing ; v. 3. | ||
500 | |a An online version of Vol. 2: Programs, which contains the FORTRAN code and documentation for each of the Lanczos procedures discussed in Vol. 1, can be found at the numerical analysis community repository, www.netlib.org, under the term "lanczos." | ||
504 | |a Includes bibliographical references and index. | ||
505 | 0 | |a Real 'symmetric' problems -- Lanczos procedures, real symmetric problems -- Tridiagonal matrices -- Lanczos procedures with no reorthogonalization for real symmetric problems -- Real rectangular matrices -- Nondefective complex symmetric matrices -- Block Lanczos procedures, real symmetric matrices. | |
506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
520 | 3 | |a First published in 1985, Lanczos Algorithms for Large Symmetric Eigenvalue Computations; Vol. 1: Theory presents background material, descriptions, and supporting theory relating to practical numerical algorithms for the solution of huge eigenvalue problems. This book deals with "symmetric" problems. However, in this book, "symmetric" also encompasses numerical procedures for computing singular values and vectors of real rectangular matrices and numerical procedures for computing eigenelements of nondefective complex symmetric matrices. Although preserving orthogonality has been the golden rule in linear algebra, most of the algorithms in this book conform to that rule only locally, resulting in markedly reduced memory requirements. Additionally, most of the algorithms discussed separate the eigenvalue (singular value) computations from the corresponding eigenvector (singular vector) computations. This separation prevents losses in accuracy that can occur in methods which, in order to be able to compute further into the spectrum, use successive implicit deflation by computed eigenvector or singular vector approximations. | |
530 | |a Also available in print version. | ||
650 | 0 | |a Symmetric matrices |x Data processing. | |
650 | 0 | |a Eigenvalues |x Data processing. | |
650 | 7 | |a Eigenvalues |x Data processing. |2 fast |0 (OCoLC)fst00904033 | |
650 | 7 | |a Symmetric matrices |x Data processing. |2 fast |0 (OCoLC)fst01140806 | |
653 | |a Symmetric matrices | ||
653 | |a Data processing | ||
653 | |a Eigenvalues | ||
653 | |a Lanczos procedures | ||
655 | 4 | |a Electronic books | |
700 | 1 | |a Willoughby, Ralph A. |0 http://id.loc.gov/authorities/names/n81084383 |1 http://viaf.org/viaf/3194892 | |
710 | 2 | |a Society for Industrial and Applied Mathematics. |0 http://id.loc.gov/authorities/names/n79053057 |1 http://viaf.org/viaf/138967442 | |
776 | 0 | 8 | |i Print version: |a Cullum, Jane K., 1938- |t Lanczos algorithms for large symmetric eigenvalue computations. |d Philadelphia : Society for Industrial and Applied Mathematics, ©2002- |z 0898715237 |w (DLC) 2002075847 |w (OCoLC)50022943 |
830 | 0 | |a Classics in applied mathematics ; |v 41. |0 http://id.loc.gov/authorities/names/n89666203 | |
903 | |a HeVa | ||
929 | |a oclccm | ||
999 | f | f | |i 4853ea01-ebe1-58ee-bea0-e0f43e2397d3 |s 2f638a9f-41bd-5a56-8347-788e36a4938c |
928 | |t Library of Congress classification |a QA193 .C84 2002eb |l Online |c UC-FullText |u https://epubs.siam.org/doi/book/10.1137/1.9780898719192 |z Society for Industrial and Applied Mathematics |g ebooks |i 12568552 |