An adaptive multilevel factorized sparse approximate inverse preconditioning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F17%3A00008819" target="_blank" >RIV/46747885:24220/17:00008819 - isvavai.cz</a>
Alternative codes found
RIV/67985807:_____/17:00473670 RIV/00216208:11320/17:10331041
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0965997816304781" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0965997816304781</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.advengsoft.2016.10.005" target="_blank" >10.1016/j.advengsoft.2016.10.005</a>
Alternative languages
Result language
angličtina
Original language name
An adaptive multilevel factorized sparse approximate inverse preconditioning
Original language description
This paper deals with adaptively preconditioned iterative methods for solving large and sparse systems of linear equations. In particular, the paper discusses preconditioning where adaptive dropping reflects the quality of preserving the relation UZ = I between the direct factor U and the inverse factor Z that satisfy A = (UU)-U-T and A(-1) = ZZ(T). The proposed strategy significantly extends and refines the approach from [1], see also [2], by using a specific multilevel framework. Numerical experiments with two levels demonstrate that the new preconditioning strategy is very promising. Namely, we show a surprising fact that in our approach the Schur complement is better to form in a more sophisticated way than by a standard sparse matrix-matrix multiplication.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ADVANCES IN ENGINEERING SOFTWARE
ISSN
0965-9978
e-ISSN
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Volume of the periodical
113
Issue of the periodical within the volume
NOV
Country of publishing house
GB - UNITED KINGDOM
Number of pages
6
Pages from-to
19-24
UT code for WoS article
000413675600004
EID of the result in the Scopus database
2-s2.0-85002488023