Comparison of adaptive methods for one-dimensional parabolic systems (Q1891028)

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scientific article; zbMATH DE number 758534
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Comparison of adaptive methods for one-dimensional parabolic systems
scientific article; zbMATH DE number 758534

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    Comparison of adaptive methods for one-dimensional parabolic systems (English)
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    15 October 1995
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    This paper compares three adaptive spatial mesh refinement procedures for solving one-dimensional parabolic partial differential equations based on a finite element Galerkin approach with a piecewise polynomial hierarchical spatial basis. The first approach uses the standard package EPDCOL while the other two techniques are based on a MOL (method of lines)-time integration approach (DASSL) and an integrated spatial and temporal refinement approach in which the time integrators are singly implicit collocation Runge-Kutta methods. In the singly implicit case regridding is allowed at each time step and the stage values are used to predict future spatial discretizations. Some numerical tests show that the singly implicit Runge-Kutta approach is the most robust and compares favourably with EPDCOL computationally but that, in general, DASSL is much more computationally efficient than either.
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    adaptive methods
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    parabolic systems
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    finite element Galerkin method
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    method of lines
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    mesh refinement
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    singly implicit collocation Runge-Kutta methods
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    numerical tests
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