A ⋆-product solver with spectral accuracy for non-autonomous ordinary differential equations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10474089" target="_blank" >RIV/00216208:11320/23:10474089 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1002/pamm.202200050" target="_blank" >https://doi.org/10.1002/pamm.202200050</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/pamm.202200050" target="_blank" >10.1002/pamm.202200050</a>
Alternative languages
Result language
angličtina
Original language name
A ⋆-product solver with spectral accuracy for non-autonomous ordinary differential equations
Original language description
A new method for solving non-autonomous ordinary differential equations is proposed, the method achieves spectral accuracy. It is based on a new result which expresses the solution of such ODEs as an element in the so called STAR OPERATOR-algebra. This algebra is equipped with a product, the STAR OPERATOR-product, which is the integral over the usual product of two bivariate distributions. Expanding the bivariate distributions in bases of Legendre polynomials leads to a discretization of the STAR OPERATOR-product and this allows for the solution to be approximated by a vector that is obtained by solving a linear system of equations. The effectiveness of this approach is illustrated with numerical experiments.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM)
ISBN
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ISSN
1617-7061
e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
John Wiley & Sons, Inc.
Place of publication
Neuveden
Event location
RWTH Aachen University
Event date
Aug 15, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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