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Geeta Arora
Researcher at Lovely Professional University
Publications - 36
Citations - 595
Geeta Arora is an academic researcher from Lovely Professional University. The author has contributed to research in topics: Nyström method & Nonlinear system. The author has an hindex of 12, co-authored 24 publications receiving 447 citations. Previous affiliations of Geeta Arora include Graphic Era Hill University & Indian Institute of Technology Roorkee.
Papers
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Numerical solution of Burgers' equation with modified cubic B-spline differential quadrature method
Geeta Arora,Brajesh Kumar Singh +1 more
TL;DR: The presented method is seen to be easy, powerful, efficient and economical to implement as compared to the existing techniques for finding the numerical solutions for various kinds of linear/nonlinear physical models.
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Numerical solution of the coupled viscous Burgers’ equation
R. C. Mittal,Geeta Arora +1 more
TL;DR: In this paper, a numerical method is proposed for the numerical solution of a coupled system of viscous Burgers' equation with appropriate initial and boundary conditions, by using the cubic B-spline collocation scheme on the uniform mesh points.
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Quintic B-spline collocation method for numerical solution of the Kuramoto–Sivashinsky equation
R. C. Mittal,Geeta Arora +1 more
TL;DR: In this article, the quintic B-spline collocation scheme is implemented to find numerical solution of the Kuramoto-Sivashinsky equation, and the accuracy of the proposed method is demonstrated by four test problems.
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Efficient numerical solution of Fisher's equation by using B-spline method
R. C. Mittal,Geeta Arora +1 more
TL;DR: An efficient B-spline scheme for solving Fisher's equation, which is a nonlinear reaction–diffusion equation describing the relation between the diffusion and nonlinear multiplication of a species, is developed.
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A numerical scheme for the generalized Burgers–Huxley equation
TL;DR: In this paper, a numerical solution of generalized Burgers-Huxley (gBH) equation is approximated by using a new scheme: modified cubic B-spline differential quadrature method (MCB-DQM).