Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Ricardo D. Fierro"'
Publikováno v:
Numerical Algorithms. 40:47-66
This collection of Matlab 7.0 software supplements and complements the package UTV Tools from 1999, and includes implementations of special-purpose rank-revealing algorithms developed since the publication of the original package. We provide algorith
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89c79189682829864e9ab42a7c169d42
https://doi.org/10.1007/s11075-005-2263-2
https://doi.org/10.1007/s11075-005-2263-2
Autor:
Eric P. Jiang, Ricardo D. Fierro
Publikováno v:
Numerical Linear Algebra with Applications. 12:355-372
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73fb64c8a2a0ca5e7c28a2628bd57230
https://doi.org/10.1002/nla.394
https://doi.org/10.1002/nla.394
Autor:
Ricardo D. Fierro
Publikováno v:
Numerical Linear Algebra with Applications. 8:245-264
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::533fbde97b3e72bba8363143b5dde4b7
https://doi.org/10.1002/nla.240
https://doi.org/10.1002/nla.240
Publikováno v:
Numerical Algorithms. 20:165-194
We describe a Matlab 5.2 package for computing and modifying certain rank-revealing decompositions that have found widespread use in signal processing and other applications. The package focuses on algorithms for URV and ULV decompositions, collectiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::952f14d0dbe39d7b8cb2efd847bc9977
https://doi.org/10.1023/a:1019112103049
https://doi.org/10.1023/a:1019112103049
Publikováno v:
Journal of Magnetic Resonance. 132:197-203
Quantification of metabolites in 1H spectra is difficult because of the presence of an unwanted water signal. Preprocessing, or removing the water contribution of a 1H spectrum, in the time domain is usually done using the state-space approach HSVD.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77d2405dc9a84ad00435cc53af1b66dc
https://doi.org/10.1006/jmre.1998.1425
https://doi.org/10.1006/jmre.1998.1425
Publikováno v:
SIAM Journal on Scientific Computing. 18:1223-1241
The total least squares (TLS) method is a successful method for noise reduction in linear least squares problems in a number of applications. The TLS method is suited to problems in which both the coefficient matrix and the right-hand side are not pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3d75d8e591f72b7af9dad4c8c7a4d52
https://doi.org/10.1137/s1064827594263837
https://doi.org/10.1137/s1064827594263837
Publikováno v:
Numerical Algorithms. 15:37-55
A UTV decomposition of an m × n matrix is a product of an orthogonal matrix, a middle triangular matrix, and another orthogonal matrix. In this paper we present and analyze algorithms for computing updatable rank-revealing UTV decompositions that ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28a041c08b941ae21ad06fb768d3bc55
https://doi.org/10.1023/a:1019254318361
https://doi.org/10.1023/a:1019254318361
Autor:
Michael W. Berry, Ricardo D. Fierro
Publikováno v:
Numerical Linear Algebra with Applications. 3:301-327
Current methods to index and retrieve documents from databases usually depend on a lexical match between query terms and keywords extracted from documents in a database. These methods can produce incomplete or irrelevant results due to the use of syn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7fad9af1d275129e1b8ad38fe67404b
https://doi.org/10.1002/(sici)1099-1506(199607/08)3:4<301::aid-nla84>3.0.co
https://doi.org/10.1002/(sici)1099-1506(199607/08)3:4<301::aid-nla84>3.0.co
Autor:
Ricardo D. Fierro
Publikováno v:
SIAM Journal on Matrix Analysis and Applications. 17:383-400
Two-sided (or complete) orthogonal decompositions are good alternatives to the singular value decomposition (SVD) because they can yield good approximations to the fundamental subspaces associated with a numerically rank-deficient matrix. In this pap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b23429e758cb3428f8005b173f55806b
https://doi.org/10.1137/s0895479894264491
https://doi.org/10.1137/s0895479894264491
Autor:
James R. Bunch, Ricardo D. Fierro
Publikováno v:
Linear Algebra and its Applications. 234:71-96
The stabilized versions of the least squares (LS) and total least squares (TLS) methods are two examples of orthogonal projection methods commonly used to “solve” the overdetermined system of linear equations AX ≈ B when A is nearly rank-defici
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80525f1e5a9722768ac19cfebab5c323