Difference kernel iterative method for linear and nonlinear partial differential equations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU118405" target="_blank" >RIV/00216305:26220/16:PU118405 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/s00521-015-1886-z" target="_blank" >http://dx.doi.org/10.1007/s00521-015-1886-z</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00521-015-1886-z" target="_blank" >10.1007/s00521-015-1886-z</a>
Alternative languages
Result language
angličtina
Original language name
Difference kernel iterative method for linear and nonlinear partial differential equations
Original language description
The purpose of this paper was to propose a new method to solve partial differential equations arising in the field of science and engineering. In this new method, we have reduced the multiple integrals into a single integral and expressed it in terms of a difference kernel. To make the calculation easy and convenient, we have used the Laplace transformation to solve the difference kernel.
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
—
OECD FORD branch
10101 - Pure mathematics
Result continuities
Project
<a href="/en/project/LQ1601" target="_blank" >LQ1601: CEITEC 2020</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
NEURAL COMPUTING & APPLICATIONS
ISSN
0941-0643
e-ISSN
1433-3058
Volume of the periodical
27
Issue of the periodical within the volume
3
Country of publishing house
GB - UNITED KINGDOM
Number of pages
6
Pages from-to
671-676
UT code for WoS article
000373019600012
EID of the result in the Scopus database
2-s2.0-84928142603