Time discretization of an evolution equation via Laplace transforms
By William McLean, Vidar Thomée. 2004
87 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computational Theory and Mathematics, Numerical Analysis
View Paper: https://www.semanticscholar.org/paper/c4401e2a1e9330a654b7830c77fb07dc2bd3c803
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- J. Andre Weideman
- William McLean
- Thomas Schmelzer
- Lloyd N. Trefethen
- Vidar Thomée
- Randall J. LeVeque
- Uri M. Ascher
- Gregory E. Fasshauer
In Computational Theory and Mathematics
In Numerical Analysis
- J. Andre Weideman
- William McLean
- Thomas Schmelzer
- Lloyd N. Trefethen
- Vidar Thomée
- Sheehan Olver
- Szymon Jaroszewicz
- Marcin Korzen
Citations in the corpus
- Numerical solution via Laplace transforms of a fractional order evolution equation (2010, methodology): “The methods are combined with finite element discretization in the spatial variables to yield fully discrete methods.”
- The Exponentially Convergent Trapezoidal Rule (2014, unknown): “Relevant papers include [56, 81, 180, 181] (parabolic contours), [105, 121, 148, 181] (hyperbolic contours), and [38, 171] (Talbot contours).”
- Talbot quadratures and rational approximations (2006, methodology): “... methods generalize in natural ways to large-scale problems involving fine discretizations and large matrices, where they are readily utilized in the context of Krylov subspace iterations and multiple processors [7, 8]. And they are readily generalized to problems with singularities off R−, inclu”
- Maximum-norm error analysis of a numerical solution via Laplace transformation and quadrature of a fractional-order evolution equation (2010, methodology): “We begin with a nonsmooth data error estimate for the semidiscrete problem, which was shown in (McLean and Thomée, 2004, Theorem 5.1) for 0 α 1.”