Application of a Hybrid of the Different Transform Method and Adomian Decomposition Method Algorithms to Solve the Troesch Problem

The Troesch problem is a well-known and important problem; the ability to solve it is important due to the practical applications of this problem. In this paper, we propose a method to solve this problem using a combination of two useful algorithms: Different Transform Method (DTM) and Adomian Decomposition Method (ADM). The combination of these two methods resulted in a continuous approximate solution to this problem and eliminated the problems that occur when trying to use each of these methods separately. The great advantages of the DTM method are the continuous form of the solution and the fact that it easy to implement error control. However, in too-complex tasks, this method becomes difficult to use. By using a hybrid of ADM and DTM, we obtain a relatively simple-to-implement method that retains the advantages of the DTM approach.

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Publication Details

Journal
Mathematics
Published
2024-12-07
DOI
https://doi.org/10.3390/math12233858
Citations
2
Primary Topic
Fuzzy Systems and Optimization
Type
article
Field-Weighted Citation Impact
1.42
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article

Application of a Hybrid of the Different Transform Method and Adomian Decomposition Method Algorithms to Solve the Troesch Problem

Damian Słota, Mariusz Pleszczyński, Konrad Kaczmarek
2 citations
Mathematics
Fuzzy Systems and Optimization
1.42
article

Application of a Hybrid of the Different Transform Method and Adomian Decomposition Method Algorithms to Solve the Troesch Problem

Damian Słota, Mariusz Pleszczyński, Konrad Kaczmarek
article en
2 citations

Abstract

The Troesch problem is a well-known and important problem; the ability to solve it is important due to the practical applications of this problem. In this paper, we propose a method to solve this problem using a combination of two useful algorithms: Different Transform Method (DTM) and Adomian Decomposition Method (ADM). The combination of these two methods resulted in a continuous approximate solution to this problem and eliminated the problems that occur when trying to use each of these methods separately. The great advantages of the DTM method are the continuous form of the solution and the fact that it easy to implement error control. However, in too-complex tasks, this method becomes difficult to use. By using a hybrid of ADM and DTM, we obtain a relatively simple-to-implement method that retains the advantages of the DTM approach.

MathematicsVol. 12(23)
Silesian University of Technology (PL)
Openalex Percentile: Top 16%
Fuzzy Systems and Optimization
1.42
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