Direct and integrated radial functions based quasilinearization schemes for nonlinear fractional differential equations

dc.contributor.authorGodavarma, G.
dc.contributor.authorPrashanthi, K.S.
dc.contributor.authorVijesh, V.
dc.date.accessioned2026-02-05T09:28:53Z
dc.date.issued2020
dc.description.abstractIn this article, two radial basis functions based collocation schemes, differentiated and integrated methods (DRBF and IRBF), are extended to solve a class of nonlinear fractional initial and boundary value problems. Before discretization, the nonlinear problem is linearized using generalized quasilinearization. An interesting proof via generalized monotone quasilinearization for the existence and uniqueness for fractional order initial value problem is given. This convergence analysis also proves quadratic convergence of the generalized quasilinearization method. Both the schemes are compared in terms of accuracy and convergence and it is found that IRBF scheme handles inherent RBF ill-condition better than corresponding DRBF method. Variety of numerical examples are provided and compared with other available results to confirm the efficiency of the schemes. © 2019, Springer Nature B.V.
dc.identifier.citationBIT Numerical Mathematics, 2020, 60, 1, pp. 31-65
dc.identifier.issn63835
dc.identifier.urihttps://doi.org/10.1007/s10543-019-00766-3
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/24040
dc.publisherSpringer editorial@springerplus.com
dc.subjectCollocation
dc.subjectConvergence analysis
dc.subjectDirect and integrated radial basis functions
dc.subjectNonlinear fractional ordinary differential equation
dc.subjectQuasilinearization
dc.titleDirect and integrated radial functions based quasilinearization schemes for nonlinear fractional differential equations

Files

Collections