Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Analytic Implementation of Laplace Transform Algorithms Using the Digital Computer

Bibliographic Data

ID20294690
AuthorsSomeshwar C Gupta (Southern Methodist University), J M Martin (0000-0001-5585-2356, Southern Methodist University), J L May (Southern Methodist University)
Year1969
Volume12
Issue4
Pages292-298
Publication date1969-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueIEEE Transactions on Education (JOURNAL)
Journal identifiersISSN: 0018-9359 • E-ISSN: 1557-9638
PublisherInstitute of Electrical and Electronics Engineers (IEEE) (PUBLISHER)
DOI10.1109/te.1969.4320520
OpenAlexW1990744979
LanguageEN
References cited1

The Laplace transform of a function can be recognized as the result of a finite number of operations perforned on the transform of a simple function. The rules governing the permissible sequences of operation have been established previously. The resultant algorithms have been used to teach Laplace transform techniques and have been applied in the derivation of transforms. From these algorithms a computer program has been developed to transform analytically from the t to the s domain. A brief survey of the algorithms is followed by a description of the program logic and grammar. Examples are given to illustrate the capabilities and limitations of the program. Possible applications and extensions of the program are discussed

Algorithm · Domain (mathematical analysis) · Fourier transform · Fractional Fourier transform · Function (biology) · Green's function for the three-variable Laplace equation · Inverse Laplace transform · Laplace transform · Laplace transform applied to differential equations · Laplace–Stieltjes transform · Mathematical analysis · Mathematical optimization · Mellin transform · Operational calculus · Post's inversion formula · Two-sided Laplace transform · Computer Science · Experimental Learning in Engineering · Mathematics

Citation velocityhistorical
Highly citedNo

Tools

Open DOISci-Hub
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae