scispace - formally typeset
S

S. C. Shiralashetti

Researcher at Karnatak University

Publications -  46
Citations -  638

S. C. Shiralashetti is an academic researcher from Karnatak University. The author has contributed to research in topics: Wavelet & Collocation method. The author has an hindex of 13, co-authored 45 publications receiving 493 citations. Previous affiliations of S. C. Shiralashetti include SDM College of Engineering and Technology.

Papers
More filters
Journal ArticleDOI

An efficient Haar wavelet collocation method for the numerical solution of multi-term fractional differential equations

TL;DR: In this paper, the authors apply the Haar wavelet collocation method (HWCM) for solving multi-term fractional differential equations (FDEs) using the fractional order operational matrix of integration.
Journal ArticleDOI

Hermite wavelets operational matrix of integration for the numerical solution of nonlinear singular initial value problems

TL;DR: In this article, the Hermite wavelets operational matrix method (HWOMM) is developed for second ordered nonlinear singular initial value problems, where properties of wavelets are used to convert the differential equations into system of algebraic equations which can be efficiently solved by suitable solvers.
Journal ArticleDOI

Theoretical study on continuous polynomial wavelet bases through wavelet series collocation method for nonlinear Lane–Emden type equations

TL;DR: A new method is generated to solve nonlinear Lane–Emden type equations using Legendre, Hermite and Laguerre wavelets to convert the differential equation with initial and boundary conditions into a system of linear or nonlinear algebraic equations with unknown coefficients.
Journal ArticleDOI

Computation of eigenvalues and solutions of regular Sturm-Liouville problems using Haar wavelets

TL;DR: In this article, a truncated Haar wavelet series was proposed for the computation of eigenvalues and solutions of Sturm-Liouville eigenvalue problems (SLEPs).
Journal ArticleDOI

Laguerre wavelets collocation method for the numerical solution of the Benjamina–Bona–Mohany equations

TL;DR: In this paper, a new approach for the accurate numerical solution of the Benjamin-Bona-Mahony (BBM) equations with the initial and boundary conditions using Laguerre wavelets is presented.