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<dc:title>Efficient exponential Rosenbrock methods till order four</dc:title>
<dc:creator>Cano Urdiales, Begoña</dc:creator>
<dc:creator>Moreta Santos, María Jesús</dc:creator>
<dc:description>Producción Científica</dc:description>
<dc:description>In a previous paper, a technique was described to avoid order reduction with exponential&#xd;
Rosenbrock methods when integrating initial boundary value problems with time-dependent&#xd;
boundary conditions. That requires to calculate some information on the boundary from the&#xd;
given data. In the present paper we prove that, under some assumptions on the coefficients&#xd;
of the method which are mainly always satisfied, no numerical differentiation is required to&#xd;
approximate that information in order to achieve order 4 for parabolic problems with Dirichlet&#xd;
boundary conditions. With Robin/Neumann ones, just numerical differentiation in time may be&#xd;
necessary for order 4, but none for order ≤ 3.&#xd;
Furthermore, as with this technique it is not necessary to impose any stiff order conditions,&#xd;
in search of efficiency, we recommend some methods of classical orders 2, 3 and 4 and we give&#xd;
some comparisons with several methods in the literature, with the corresponding stiff order.</dc:description>
<dc:date>2025-01-09T07:17:20Z</dc:date>
<dc:date>2025-01-09T07:17:20Z</dc:date>
<dc:date>2025</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:identifier>Journal of Computational and Applied Mathematics, enero 2025, vol. 453, 116158</dc:identifier>
<dc:identifier>0377-0427</dc:identifier>
<dc:identifier>https://uvadoc.uva.es/handle/10324/73254</dc:identifier>
<dc:identifier>10.1016/j.cam.2024.116158</dc:identifier>
<dc:identifier>116158</dc:identifier>
<dc:identifier>Journal of Computational and Applied Mathematics</dc:identifier>
<dc:identifier>453</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>https://www.sciencedirect.com/science/article/pii/S0377042724004072</dc:relation>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
<dc:rights>© 2024 The Author(s)</dc:rights>
<dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 Internacional</dc:rights>
<dc:publisher>Elsevier</dc:publisher>
<dc:peerreviewed>SI</dc:peerreviewed>
</ow:Publication>
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