2021
DOI: 10.5269/bspm.39925
|View full text |Cite
|
Sign up to set email alerts
|

Direct method for solution variational problems by using Hermite polynomials

Abstract: ‎In this approach‎, ‎one‎ computational method is presented for numerical approximation of variational problems‎. ‎This method with variable ‎coeffici‎ents is based on Hermite polynomials‎. ‎The properties of Hermite polynomials with the operational matrices of derivative and integration are used to reduce optimal control problems to the solution of linear algebraic equations‎. ‎Illustrative examples are included to demonstrate the validity and applicability of the technique‎.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(3 citation statements)
references
References 24 publications
0
3
0
Order By: Relevance
“…As known, Eq. ( 18) provides the exact solution of a secondorder homogeneous PDE (in the classical form) as shown in Yari and Mirnia (2021) and Abramowitz and Stegun (1965). However, Eqs.…”
Section: Numerical Solutionsmentioning
confidence: 99%
“…As known, Eq. ( 18) provides the exact solution of a secondorder homogeneous PDE (in the classical form) as shown in Yari and Mirnia (2021) and Abramowitz and Stegun (1965). However, Eqs.…”
Section: Numerical Solutionsmentioning
confidence: 99%
“…However, it can be used to get HPs approximated solution. Thus, HPs in x and t are introduced by the series, generating function and identity, respectively [51,53]: and satisfy in the following relation [53]:…”
Section: Non-constant Diffusivitymentioning
confidence: 99%
“…Therefore, various direct techniques based on orthogonal functions and polynomial series have been used to solve the VPs. An overall view of these methods can be explored in the research work provided by Schechter (1967), Hwang and Shih (1983), Razzaghi et al (2012), Mashayekhi et al (2012), Haddai et al (2012), Zarebnia and Birjandi (2012), Zarebnia and Sarvari (2014), Jaber (2015), Yari et al (2017), Yari and Mirnia (2021) and Shiri and Baleanu (2019). Also, Baleanu et al (2018) and Shiri et al (2021) introduced the applications of an operational matrix method based on orthogonal polynomials.…”
Section: Introductionmentioning
confidence: 99%