Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/7968
Título
Why Improving the Accuracy of Exponential Integrators Can Decrease Their Computational Cost?
Publicado en
Mathematics. 2021, V. 9, n. 9, 1008
Editorial
MDPI
Fecha de publicación
2021-04
DOI
10.3390/math9091008
Resumen
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.
Palabras clave
Avoiding order reduction
Efficiency
Krylov methods
Materia
Matemáticas
Mathematics
Versión del editor
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