Please use this identifier to cite or link to this item: https://idr.l1.nitk.ac.in/jspui/handle/123456789/14524
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorChandini, G.-
dc.contributor.authorPrashanthi, K. S.-
dc.date.accessioned2020-09-18T10:13:14Z-
dc.date.available2020-09-18T10:13:14Z-
dc.date.issued2019-
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/14524-
dc.description.abstractThe primary objective of the present thesis is to explore on radial basis functions based numerical schemes for certain types of fractional differential equations. Unlike classical derivatives, non-local nature of the fractional derivatives makes extension of the existing schemes to fractional models complex and computationally expensive. In addition, compared to time fractional differential equations, attempts on RBF schemes for space and space-time fractional differential equations are less in the literature. This may be due to the difficulty in handling multidimensional space fractional derivatives because of the vector integral representation. Two approaches, namely, direct and integrated RBF collocation methods (DRBF and IRBF) are extended to approximate fractional order derivatives. In particular, we have proposed these schemes for nonlinear fractional models: fractional nonlinear ODEs (both initial and boundary value problems) and fractional Darboux problem. These nonlinear fractional DEs are appropriately approximated by a sequence of linear fractional DEs that converges to the solutions of the problem. The proposed sequences are generated via either generalised quasilinearisation or successive approximation techniques. In all these cases, existence and uniqueness of the solution and convergence of the proposed sequences are proved for continuous case. The numerical solutions thus obtained are extensively studied and analysed in terms of accuracy, convergence, time complexity as well as shape parameter dependency. While being capable to provide highly accurate approximations with exponential convergence rate, these characteristics of RBF based schemes are overwhelmed by infamous instability due to ill-conditioning of the governing system. Hence another important contribution to the thesis includes putting forth two algorithms based on Tikhonov regularisation and RBF-QR method to approximate fractional order derivatives. Using Chebyshev-Gauss quadrature, RBF-QR method is generalised to include all types of radial functions, wherein the algorithm was earlier restricted to Gaussian RBF. Then the proposed algorithms are validated using various fractional imodels by computing solutions for significantly small shape parameters. Also they are analysed to see the effect of increase in nodal points.en_US
dc.language.isoenen_US
dc.publisherNational Institute of Technology Karnataka, Surathkalen_US
dc.subjectDepartment of Mathematical and Computational Sciencesen_US
dc.subjectFractional nonlinear differential equationsen_US
dc.subjectFractional Darboux problemen_US
dc.subjectRadial basis functionsen_US
dc.subjectGlobal numerical schemesen_US
dc.subjectSuccessive approximationen_US
dc.subjectGeneralised quasilinearisationen_US
dc.subjectStable computationen_US
dc.subjectTikhonov regularisationen_US
dc.subjectRBF-QRen_US
dc.subjectGauss-Chebyshev quadratureen_US
dc.titleRadial Basis Functions Based Schemes for Fractional Differential Equationsen_US
dc.typeThesisen_US
Appears in Collections:1. Ph.D Theses

Files in This Item:
File Description SizeFormat 
135047MA13F02.pdf1.55 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.