Serial and Parallel Iterative Splitting Methods: Algorithms and Applications to Fractional Convection-Diffusion Equations
The benefits and properties of iterative splitting methods, which are based on serial versions, have been studied in recent years, this work, we extend the iterative splitting methods to novel classes of parallel versions to solve nonlinear fractional convection-diffusion equations. For such interes...
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MDPI AG
2020-11-01
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author | Jürgen Geiser Eulalia Martínez Jose L. Hueso |
author_facet | Jürgen Geiser Eulalia Martínez Jose L. Hueso |
author_sort | Jürgen Geiser |
collection | DOAJ |
description | The benefits and properties of iterative splitting methods, which are based on serial versions, have been studied in recent years, this work, we extend the iterative splitting methods to novel classes of parallel versions to solve nonlinear fractional convection-diffusion equations. For such interesting partial differential examples with higher dimensional, fractional, and nonlinear terms, we could apply the parallel iterative splitting methods, which allow for accelerating the solver methods and reduce the computational time. Here, we could apply the benefits of the higher accuracy of the iterative splitting methods. We present a novel parallel iterative splitting method, which is based on the multi-splitting methods, The flexibilisation with multisplitting methods allows for decomposing large scale operator equations. In combination with iterative splitting methods, which use characteristics of waveform-relaxation (WR) methods, we could embed the relaxation behavior and deal better with the nonlinearities of the operators. We consider the convergence results of the parallel iterative splitting methods, reformulating the underlying methods with a summation of the individual convergence results of the WR methods. We discuss the numerical convergence of the serial and parallel iterative splitting methods with respect to the synchronous and asynchronous treatments. Furthermore, we present different numerical applications of fluid and phase field problems in order to validate the benefit of the parallel versions. |
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spelling | doaj.art-38d5542b693c4e8c98df8e22c31d64ae2023-11-20T19:44:30ZengMDPI AGMathematics2227-73902020-11-01811195010.3390/math8111950Serial and Parallel Iterative Splitting Methods: Algorithms and Applications to Fractional Convection-Diffusion EquationsJürgen Geiser0Eulalia Martínez1Jose L. Hueso2Department of Electrical Engineering and Information Technology, Ruhr-University of Bochum, 44801 Bochum, GermanyInstituto Universitario de Matemática Multidisciplinar, Universitat Politècnica de València, 46022 Valencia, SpainInstituto Universitario de Matemática Multidisciplinar, Universitat Politècnica de València, 46022 Valencia, SpainThe benefits and properties of iterative splitting methods, which are based on serial versions, have been studied in recent years, this work, we extend the iterative splitting methods to novel classes of parallel versions to solve nonlinear fractional convection-diffusion equations. For such interesting partial differential examples with higher dimensional, fractional, and nonlinear terms, we could apply the parallel iterative splitting methods, which allow for accelerating the solver methods and reduce the computational time. Here, we could apply the benefits of the higher accuracy of the iterative splitting methods. We present a novel parallel iterative splitting method, which is based on the multi-splitting methods, The flexibilisation with multisplitting methods allows for decomposing large scale operator equations. In combination with iterative splitting methods, which use characteristics of waveform-relaxation (WR) methods, we could embed the relaxation behavior and deal better with the nonlinearities of the operators. We consider the convergence results of the parallel iterative splitting methods, reformulating the underlying methods with a summation of the individual convergence results of the WR methods. We discuss the numerical convergence of the serial and parallel iterative splitting methods with respect to the synchronous and asynchronous treatments. Furthermore, we present different numerical applications of fluid and phase field problems in order to validate the benefit of the parallel versions.https://www.mdpi.com/2227-7390/8/11/1950multisplitting methoditerative splitting methodnumerical analysisoperator-splitting methodinitial value problemiterative solver method |
spellingShingle | Jürgen Geiser Eulalia Martínez Jose L. Hueso Serial and Parallel Iterative Splitting Methods: Algorithms and Applications to Fractional Convection-Diffusion Equations Mathematics multisplitting method iterative splitting method numerical analysis operator-splitting method initial value problem iterative solver method |
title | Serial and Parallel Iterative Splitting Methods: Algorithms and Applications to Fractional Convection-Diffusion Equations |
title_full | Serial and Parallel Iterative Splitting Methods: Algorithms and Applications to Fractional Convection-Diffusion Equations |
title_fullStr | Serial and Parallel Iterative Splitting Methods: Algorithms and Applications to Fractional Convection-Diffusion Equations |
title_full_unstemmed | Serial and Parallel Iterative Splitting Methods: Algorithms and Applications to Fractional Convection-Diffusion Equations |
title_short | Serial and Parallel Iterative Splitting Methods: Algorithms and Applications to Fractional Convection-Diffusion Equations |
title_sort | serial and parallel iterative splitting methods algorithms and applications to fractional convection diffusion equations |
topic | multisplitting method iterative splitting method numerical analysis operator-splitting method initial value problem iterative solver method |
url | https://www.mdpi.com/2227-7390/8/11/1950 |
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