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386511

An efcient algorithm to solve damped forced oscillator problems by Bernoulli operational matrix of integration

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Last updated: 31 Dec 2024

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Abstract

An asymptotic perturbation solution for a linear oscillator of free damped vibrations in
fractal medium described by local fractional derivatives was obtained in Yang and Srivastava (Commun Nonlinear Sci Numer Simul 29(1–3):499–504, 2015). In this paper, we
obtain the numerical solution of damped forced oscillator problems by employing the
operational matrix of integration of Bernoulli orthonormal polynomials. The operational
matrix of integration is determined with the help of the integral operator on Bernoulli
orthonormal polynomials. Numerical examples of two diferent problems of spring are
given to delineate the performance and perfection of this approach and compared the
results with the exact solution.

DOI

10.1186/s42787-021-00115-w

Keywords

: Orthonormal Bernoulli polynomials, Operational matrix, Damped forced oscillator problem

Authors

First Name

Mithilesh

Last Name

Singh

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Affiliation

Rajkiya Engineering College, Churk, Sonbhadra, Uttar Pradesh, India.

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First Name

Seema

Last Name

Sharma

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Affiliation

Gurukula Kangri Vishwavidyalaya (Kanya Gurukula Campus), Haridwar, Uttarakhand, India.

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Orcid

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First Name

Sunil

Last Name

Rawan

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-

Affiliation

Gurukula Kangri Vishwavidyalaya, Haridwar, Uttarakhand, India.

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Volume

29

Article Issue

1

Related Issue

50998

Issue Date

2021-01-01

Receive Date

2024-10-16

Publish Date

2021-01-01

Page Start

1

Page End

11

Print ISSN

1110-256X

Online ISSN

2090-9128

Link

https://joems.journals.ekb.eg/article_386511.html

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https://joems.journals.ekb.eg/service?article_code=386511

Order

386,511

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Original Article

Type Code

3,248

Publication Type

Journal

Publication Title

Journal of the Egyptian Mathematical Society

Publication Link

https://joems.journals.ekb.eg/

MainTitle

An efcient algorithm to solve damped forced oscillator problems by Bernoulli operational matrix of integration

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Article

Created At

21 Dec 2024