Reduced-order modeling, error estimation, and the role of the start-vector: the recursive residue generation method revisited.
Reduced-order modeling, error estimation, and the role of the start-vector: the recursive residue generation method revisited. Research Abstract Details
The recursive residue generation method (RRGM) [Wyatt, R. E. Adv. Chem. Phys. 1989, 73, 231] is re-derived using the formalism of reduced-order modeling [Bai, Z. Appl. Numerical Math. 2002, 43, 9]. A stopping criteria for the RRGM recursions is proposed, on the basis of an expression for an upper bound to the absolute error [Bai, Z.; Ye, Q. Electron. Trans. Numerical Anal. 1998, 7, 1]. It is further pointed out that, in general, the start-vector has a negligible effect on the convergence of the RRGM.
Reduced-order modeling, error estimation, and the role of the start-vector: the recursive residue generation method revisited. Publishing Authors By Initials
Reduced-order modeling, error estimation, and the role of the start-vector: the recursive residue generation method revisited. Journal Published:
PUBLICATION TYPE: Journal Article
Journal: The journal of physical chemistry. A
VOLUME: 111
Page Numbers: 10263-8
Journal Abbreviation:
ISSN: 1089-5639
DAY: 31
MONTH: 07
YEAR: 2007
Reduced-order modeling, error estimation, and the role of the start-vector: the recursive residue generation method revisited. Information
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LANGUAGE: eng
NlmUniqueID: 9890903
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Grant and Affiliation Information for Reduced-order modeling, error estimation, and the role of the start-vector: the recursive residue generation method revisited.
AFFILIATION: Quantum Chemistry, Department of Physical and Analytical Chemistry, Uppsala University Box 518, SE-751 20 Uppsala, Sweden.
Country: United States
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MEDLINETA: J Phys Chem A
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