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<dc:title>Why Improving the Accuracy of Exponential Integrators Can Decrease Their Computational Cost?</dc:title>
<dc:creator>Cano, Begoña</dc:creator>
<dc:creator>Reguera López, Nuria</dc:creator>
<dc:subject>Avoiding order reduction</dc:subject>
<dc:subject>Efficiency</dc:subject>
<dc:subject>Krylov methods</dc:subject>
<dc: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&#xd;
implies in principle to calculate additional terms at each step from those already necessary without&#xd;
avoiding order reduction. The aim of the present paper is to explain the surprising result that,&#xd;
many times, in spite of having to calculate more terms at each step, the computational cost of doing&#xd;
it through Krylov methods decreases instead of increases. This is very interesting since, in that way,&#xd;
the methods improve not only in terms of accuracy, but also in terms of computational cost.</dc:description>
<dc:date>2023-11-09T10:25:56Z</dc:date>
<dc:date>2023-11-09T10:25:56Z</dc:date>
<dc:date>2021-04</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:identifier>http://hdl.handle.net/10259/7968</dc:identifier>
<dc:identifier>10.3390/math9091008</dc:identifier>
<dc:identifier>2227-7390</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>Mathematics. 2021, V. 9, n. 9, 1008</dc:relation>
<dc:relation>https://doi.org/10.3390/math9091008</dc:relation>
<dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:rights>Atribución 4.0 Internacional</dc:rights>
<dc:publisher>MDPI</dc:publisher>
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