Optimal parameter selection in Weeks’ method for numerical Laplace transform inversion based on machine learning
The Weeks method for the numerical inversion of the Laplace transform utilizes a Möbius transformation which is parameterized by two real quantities, σ and b . Proper selection of these parameters depends highly on the Laplace space function F ( s ) and is generally a nontrivial task. In this paper,...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2021-03-01
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| Series: | Journal of Algorithms & Computational Technology |
| Online Access: | https://doi.org/10.1177/1748302621999621 |