An effective approximation for second-order singular functional differential equations

dc.contributor.authorIzadi, Mohammad
dc.contributor.authorSrivastava, H.M.
dc.contributor.authorAdel, Waleed
dc.date.accessioned2022-10-27T16:18:41Z
dc.date.available2022-10-27T16:18:41Z
dc.date.copyright2022en_US
dc.date.issued2022
dc.description.abstractIn this research study, a novel computational algorithm for solving a second-order singular functional differential equation as a generalization of the well-known Lane–Emden and differentialdifference equations is presented by using the Bessel bases. This technique depends on transforming the problem into a system of algebraic equations and by solving this system the unknown Bessel coefficients are determined and the solution will be known. The method is tested on several test examples and proves to provide accurate results as compared to other existing methods from the literature. The simplicity and robustness of the proposed technique drive us to investigate more of their applications to several similar problems in the future.en_US
dc.description.reviewstatusRevieweden_US
dc.description.scholarlevelFacultyen_US
dc.identifier.citationIzadi, M., Srivastava, H., & Adel, W. (2022). “An effective approximation algorithm for second-order singular functional differential equations.” Axioms, 11(3), 133. https://doi.org/10.3390/axioms11030133en_US
dc.identifier.urihttps://doi.org/10.3390/axioms11030133
dc.identifier.urihttp://hdl.handle.net/1828/14328
dc.language.isoenen_US
dc.publisherAxiomsen_US
dc.subjectBessel polynomialsen_US
dc.subjectcollocation pointsen_US
dc.subjectdifferential-difference equationen_US
dc.subjectfunctional differential equationen_US
dc.subjectsingular Lane-Emden type equationen_US
dc.titleAn effective approximation for second-order singular functional differential equationsen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Srivastava_Hari_Axioms_2022_2.pdf
Size:
1.01 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2 KB
Format:
Item-specific license agreed upon to submission
Description: