Multi-exponential decaying data are very frequent in applications and a continuous description of this type of data allows the use of mathematical tools for data analysis such as the Laplace Transform (LT). In this work a numerical procedure for the Laplace Transform Inversion (LTI) of multi-exponential decaying data is proposed. It is based on a new fitting model, that is a smoothing exponential-polynomial spline with segments expressed in Bernstein-like bases. A numerical experiment concerning the application of a LTI method applied to our spline model highlights that it is very promising in the LTI of exponential decay data.

A Procedure for Laplace Transform Inversion Based on Smoothing Exponential-Polynomial Splines / Campagna R.; Conti C.; Cuomo S.. - STAMPA. - 11973:(2020), pp. 11-18. (Intervento presentato al convegno 3rd Triennial International Conference and Summer School on Numerical Computations: Theory and Algorithms, NUMTA 2019 tenutosi a Crotone (Italia) nel 15-21 giugno 2019) [10.1007/978-3-030-39081-5_2].

A Procedure for Laplace Transform Inversion Based on Smoothing Exponential-Polynomial Splines

Conti C.;
2020

Abstract

Multi-exponential decaying data are very frequent in applications and a continuous description of this type of data allows the use of mathematical tools for data analysis such as the Laplace Transform (LT). In this work a numerical procedure for the Laplace Transform Inversion (LTI) of multi-exponential decaying data is proposed. It is based on a new fitting model, that is a smoothing exponential-polynomial spline with segments expressed in Bernstein-like bases. A numerical experiment concerning the application of a LTI method applied to our spline model highlights that it is very promising in the LTI of exponential decay data.
2020
Volume 11973 LNCS
3rd Triennial International Conference and Summer School on Numerical Computations: Theory and Algorithms, NUMTA 2019
Crotone (Italia)
15-21 giugno 2019
Goal 9: Industry, Innovation, and Infrastructure
Campagna R.; Conti C.; Cuomo S.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1191740
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