Neela Nataraj
Indian Institute of Technology Bombay
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Neela Nataraj.
Mathematics of Computation | 2007
Thirupathi Gudi; Neela Nataraj; Amiya K. Pani
In this paper, an hp-local discontinuous Galerkin method is applied to a class of quasilinear elliptic boundary value problems which are of nonmonotone type. On hp-quasiuniform meshes, using the Brouwer fixed point theorem, it is shown that the discrete problem has a solution, and then using Lipschitz continuity of the discrete solution map, uniqueness is also proved. A priori error estimates in broken H 1 norm and L 2 norm which are optimal in h, suboptimal in p are derived. These results are exactly the same as in the case of linear elliptic boundary value problems. Numerical experiments are provided to illustrate the theoretical results.
Journal of Applied Mathematics and Computing | 2007
Ambit kumar Pany; Neela Nataraj; Sangita Singh
In this paper, anH1-Galerkin mixed finite element method is used to approximate the solution as well as the flux of Burgers’ equation. Error estimates have been derived. The results of the numerical experiment show the efficacy of the mixed method and justifies the theoretical results obtained in the paper.
Journal of Scientific Computing | 2013
Thirupathi Gudi; Hari Shanker Gupta; Neela Nataraj
Error analysis for a stable C0 interior penalty method is derived for general fourth order problems on polygonal domains under minimal regularity assumptions on the exact solution. We prove that this method exhibits quasi-optimal order of convergence in the discrete H2, H1 and L2 norms. L∞ norm error estimates are also discussed. Theoretical results are demonstrated by numerical experiments.
SIAM Journal on Numerical Analysis | 2012
Sajid Memon; Neela Nataraj; Amiya K. Pani
In this article, a posteriori error estimates are derived for mixed finite element Galerkin approximations to second order linear parabolic initial and boundary value problems. Using mixed elliptic reconstructions, a posteriori error estimates in
Ima Journal of Numerical Analysis | 2018
Jérôme Droniou; Neela Nataraj
L^{\infty}(L^2)
International Journal for Numerical Methods in Engineering | 1996
Neela Nataraj; P. K. Bhattacharyya; S. Balasundaram; S. Gopalsamy
- and
Numerische Mathematik | 2016
Carsten Carstensen; Asha K. Dond; Neela Nataraj; Amiya K. Pani
L^2(L^2)
Computers & Mathematics With Applications | 2014
S. Bajpai; Neela Nataraj
-norms for the solution as well as its flux are proved for the semidiscrete scheme. Finally, based on a backward Euler method, a completely discrete scheme is analyzed and a posteriori error bounds are derived, which improves upon earlier results on a posteriori estimates of mixed finite element approximations to parabolic problems. Results of numerical experiments verifying the efficiency of the estimators have also been provided.
Computers & Mathematics With Applications | 2014
Thirupathi Gudi; Neela Nataraj; Kamana Porwal
The gradient discretisation method is a generic framework that is applicable to a number of schemes for diffusion equations, and provides in particular generic error estimates in
Advances in Computational Mathematics | 2013
Nupur Gupta; Neela Nataraj
L^2