Comparison of preconditioned Krylov subspace iteration methods for PDE-constrained optimization problems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68145535%3A_____%2F17%3A00482333" target="_blank" >RIV/68145535:_____/17:00482333 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007%2Fs11075-016-0136-5" target="_blank" >https://link.springer.com/article/10.1007%2Fs11075-016-0136-5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11075-016-0136-5" target="_blank" >10.1007/s11075-016-0136-5</a>
Alternative languages
Result language
angličtina
Original language name
Comparison of preconditioned Krylov subspace iteration methods for PDE-constrained optimization problems
Original language description
The governing dynamics of fluid flow is stated as a system of partial differential equations referred to as the Navier-Stokes system. In industrial and scientific applications, fluid flow control becomes an optimization problem where the governing partial differential equations of the fluid flow are stated as constraints. When discretized, the optimal control of the Navier-Stokes equations leads to large sparse saddle point systems in two levels. In this paper, we consider distributed optimal control for the Stokes system and test the particular case when the arising linear system can be compressed after eliminating the control function. In that case, a system arises in a form which enables the application of an efficient block matrix preconditioner that previously has been applied to solve complex-valued systems in real arithmetic. Under certain conditions, the condition number of the so preconditioned matrix is bounded by 2. The numerical and computational efficiency of the method in terms of number of iterations and execution time is favorably compared with other published methods.
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
10102 - Applied mathematics
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
Numerical Algorithms
ISSN
1017-1398
e-ISSN
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Volume of the periodical
74
Issue of the periodical within the volume
1
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
19
Pages from-to
19-37
UT code for WoS article
000391392300002
EID of the result in the Scopus database
2-s2.0-84965082158