New Numerical Approach for Fractional Variational Problems Using Shifted Legendre Orthonormal Polynomials
Samer S. Ezz-Eldien (),
Ramy M. Hafez (),
Ali H. Bhrawy (),
Dumitru Baleanu () and
Ahmed A. El-Kalaawy ()
Additional contact information
Samer S. Ezz-Eldien: Assiut University
Ramy M. Hafez: Modern Academy
Ali H. Bhrawy: Beni-Suef University
Dumitru Baleanu: Çankaya University
Ahmed A. El-Kalaawy: Beni-Suef University
Journal of Optimization Theory and Applications, 2017, vol. 174, issue 1, No 19, 295-320
Abstract:
Abstract This paper reports a new numerical approach for numerically solving types of fractional variational problems. In our approach, we use the fractional integrals operational matrix, described in the sense of Riemann–Liouville, with the help of the Lagrange multiplier technique for converting the fractional variational problem into an easier problem that consisting of solving an algebraic equations system in the unknown coefficients. Several numerical examples are introduced, combined with their approximate solutions and comparisons with other numerical approaches, for confirming the accuracy and applicability of the proposed approach.
Keywords: Fractional variational problems; Lagrange multiplier technique; Riemann–Liouville integrals; Operational matrix; Legendre polynomials; 34A08; 65M70; 33C45 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://link.springer.com/10.1007/s10957-016-0886-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:joptap:v:174:y:2017:i:1:d:10.1007_s10957-016-0886-1
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2
DOI: 10.1007/s10957-016-0886-1
Access Statistics for this article
Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull
More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().