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<dc:creator>Cano, Begoña</dc:creator>
<dc:creator>Reguera López, Nuria</dc:creator>
<dc:date>2021-04</dc:date>
<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:identifier>http://hdl.handle.net/10259/7968</dc:identifier>
<dc:language>eng</dc:language>
<dc:publisher>MDPI</dc:publisher>
<dc:title>Why Improving the Accuracy of Exponential Integrators Can Decrease Their Computational Cost?</dc:title>
<dc:type>info:eu-repo/semantics/article</dc:type>
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