Fuzzy transform algorithm based on high-resolution compact discretization for three-dimensional nonlinear elliptic PDEs and convection–diffusion equations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F23%3AA2402N4T" target="_blank" >RIV/61988987:17610/23:A2402N4T - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007/s00500-023-09146-0#citeas" target="_blank" >https://link.springer.com/article/10.1007/s00500-023-09146-0#citeas</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00500-023-09146-0" target="_blank" >10.1007/s00500-023-09146-0</a>
Alternative languages
Result language
angličtina
Original language name
Fuzzy transform algorithm based on high-resolution compact discretization for three-dimensional nonlinear elliptic PDEs and convection–diffusion equations
Original language description
This paper deals with a high-resolution algorithm that engages fuzzy transform to solve three-dimensional nonlinear elliptic partial differential equations. The scheme approximates the fuzzy components, which estimate fourth-order accurate solutions at the interior mesh points of the solution domain. The fuzzy components and triangular base functions will be approximated with a nineteen-point linear combination of solution values and related to exact solutions by a linear system. Such an arrangement along with compact discretization yields a block tridiagonal Jacobian matrix, and an iterative solver can efficiently compute them. The convergence analysis and error bound of the scheme are examined in detail. The method provides an order-preserving solution and applies to a comprehensive class of partial differential equations with nonlinear first-order partial derivatives. Numerical simulations with Helmholtz equation, advection–diffusion–reaction equation, and nonlinear elliptic sine–Gordan equation corroborate the utility, convergence rate, and enhance solution accuracy by employing a new scheme.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
—
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
Name of the periodical
Soft Computing
ISSN
1432-7643
e-ISSN
1433-7479
Volume of the periodical
—
Issue of the periodical within the volume
28.09.2023
Country of publishing house
DE - GERMANY
Number of pages
26
Pages from-to
17525-17550
UT code for WoS article
001074767600006
EID of the result in the Scopus database
2-s2.0-85173033108