Why Improving the Accuracy of Exponential Integrators Can Decrease Their Computational Cost?

In previous papers, a technique has been suggested to avoid order reduction when integrating initial boundary value problems with several kinds of exponential methods. The technique implies in principle to calculate additional terms at each step from those already necessary without avoiding order re...

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Main Authors: Begoña Cano, Nuria Reguera
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/9/9/1008
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author Begoña Cano
Nuria Reguera
author_facet Begoña Cano
Nuria Reguera
author_sort Begoña Cano
collection DOAJ
description In previous papers, a technique has been suggested to avoid order reduction when integrating initial boundary value problems with several kinds of exponential methods. The technique implies in principle to calculate additional terms at each step from those already necessary without avoiding order reduction. The aim of the present paper is to explain the surprising result that, many times, in spite of having to calculate more terms at each step, the computational cost of doing it through Krylov methods decreases instead of increases. This is very interesting since, in that way, the methods improve not only in terms of accuracy, but also in terms of computational cost.
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spelling doaj.art-91fa4a89b70f4fd2bf53f1a5f8546c782023-11-21T17:45:39ZengMDPI AGMathematics2227-73902021-04-0199100810.3390/math9091008Why Improving the Accuracy of Exponential Integrators Can Decrease Their Computational Cost?Begoña Cano0Nuria Reguera1Departamento de Matemática Aplicada, Facultad de Ciencias, Universidad de Valladolid, IMUVA, Paseo de Belén 7, 47011 Valladolid, SpainDepartamento de Matemáticas y Computación, Universidad de Burgos, IMUVA, Escuela Politécnica Superior, Avda. Cantabria, 09006 Burgos, SpainIn previous papers, a technique has been suggested to avoid order reduction when integrating initial boundary value problems with several kinds of exponential methods. The technique implies in principle to calculate additional terms at each step from those already necessary without avoiding order reduction. The aim of the present paper is to explain the surprising result that, many times, in spite of having to calculate more terms at each step, the computational cost of doing it through Krylov methods decreases instead of increases. This is very interesting since, in that way, the methods improve not only in terms of accuracy, but also in terms of computational cost.https://www.mdpi.com/2227-7390/9/9/1008avoiding order reductionefficiencyKrylov methods
spellingShingle Begoña Cano
Nuria Reguera
Why Improving the Accuracy of Exponential Integrators Can Decrease Their Computational Cost?
Mathematics
avoiding order reduction
efficiency
Krylov methods
title Why Improving the Accuracy of Exponential Integrators Can Decrease Their Computational Cost?
title_full Why Improving the Accuracy of Exponential Integrators Can Decrease Their Computational Cost?
title_fullStr Why Improving the Accuracy of Exponential Integrators Can Decrease Their Computational Cost?
title_full_unstemmed Why Improving the Accuracy of Exponential Integrators Can Decrease Their Computational Cost?
title_short Why Improving the Accuracy of Exponential Integrators Can Decrease Their Computational Cost?
title_sort why improving the accuracy of exponential integrators can decrease their computational cost
topic avoiding order reduction
efficiency
Krylov methods
url https://www.mdpi.com/2227-7390/9/9/1008
work_keys_str_mv AT begonacano whyimprovingtheaccuracyofexponentialintegratorscandecreasetheircomputationalcost
AT nuriareguera whyimprovingtheaccuracyofexponentialintegratorscandecreasetheircomputationalcost