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Semi‐analytical methods for solving Ito stochastic models on the notion of Karhunen‐Loéve Brownian motion transform

Ogundile, O. P. and Edeki, S.O. (2021) Semi‐analytical methods for solving Ito stochastic models on the notion of Karhunen‐Loéve Brownian motion transform. In: Modeling and Computation in Vibration Problems. The SAO/NASA Astrophysics Data System. ISBN 978‐0‐7503‐3485‐3.

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Abstract

This chapter presents the concept of the Karhunen‐Loéve finite series expansion technique for obtaining the solutions of Ito linear stochastic differential equations with and without vibration parameters by using the Daftardar‐Jafari Method (DJM) and Picards Iterative Method (PIM) as the approximateanalytical methods of solutions. Four applicable examples are considered. The results obtained from DJM are compared with those of the PIM. The results show that DJM and PIM are very effective and reliable in obtaining approximate solutions based on the comparison.

Item Type: Book Section
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Engineering, Science and Mathematics > School of Mathematics
Depositing User: Mrs Patricia Nwokealisi
Date Deposited: 06 Jun 2022 10:58
Last Modified: 06 Jun 2022 10:58
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/15945

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