ACM Home Page
Please provide us with feedback. Feedback
Algorithm 796: a Fortran software package for the numerical inversion of the Laplace transform based on a Fourier series method
Full text PdfPdf (58 KB)
Source ACM Transactions on Mathematical Software (TOMS) archive
Volume 25 ,  Issue 3  (September 1999) table of contents
Pages: 306 - 315  
Year of Publication: 1999
ISSN:0098-3500
Authors
Luisa D'Amore  Italian National Research Council and Univ. of Naples “Federico II”, Naples, Italy
Guiliano Laccetti  Italian National Research Council and Univ. of Naples “Federico II”, Naples, Italy
Almerico Murli  Italian National Research Council and Univ. of Naples “Federico II”, Naples, Italy
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 13,   Downloads (12 Months): 97,   Citation Count: 0
Additional Information:

appendices and supplements   abstract   references   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/326147.326149
What is a DOI?

APPENDICES and SUPPLEMENTS
gZip796.gz (49 KB)
Software for "A Fortran software package for the numerical inversion of the Laplace transform based on a Fourier series method"


ABSTRACT

A software package for the numerical inversion of a Laplace Transform function is described. Besides function values of F (z) for complex and real z, the user has only to provide the numerical value of the Laplace convergence abscissa &sgr;0 or, failing this, an upper bound to this quantity, and the accuracy he or she requires in the computed value of the inverse Transform. The method implemented is based on a Fourier series expansion of the inverse transform, and it is especially suitable when such inverse Laplace Transform is sectionally continuous.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

1

Collaborative Colleagues:
Luisa D'Amore: colleagues
Guiliano Laccetti: colleagues
Almerico Murli: colleagues