Uniformly convergent non-standard finite difference methods for singularly perturbed differential-difference equations with delay and advance

2006 ◽  
Vol 66 (2) ◽  
pp. 272-296 ◽  
Author(s):  
Kailash C. Patidar ◽  
Kapil K. Sharma
2010 ◽  
Vol 121-122 ◽  
pp. 682-686
Author(s):  
Yan Lei Zhao ◽  
Xue Ting Liu

Adding element tridiagonal matrices play a very important role in the theory and practical applications, such as the boundary value problems by finite difference methods, interpolation by cubic splines, three-term difference equations and so on. In this paper, we give a fast algorithm for the Inverse Matrices of periodic adding element tridiagonal matrices.


2010 ◽  
Vol 159 ◽  
pp. 464-468
Author(s):  
Hong Ling Fan

Adding element tridiagonal periodic matrices have an important effect for the algorithms of solving linear systems,computing the inverses, the triangular factorization,the boundary value problems by finite difference methods, interpolation by cubic splines, three-term difference equations and so on. In this paper, we give a fast algorithm for the Inverse Matrices of periodic adding element tridiagonal matrices.


Author(s):  
NAOL NEGERO ◽  
Gemechis Duressa

For the numerical solution of singularly perturbed second-order parabolic partial differential equation of one dimensional convection-diffusion type with long time delays arising in control theory, a novel class of fitted operator finite difference methods is constructed using non-standard finite difference methods. Since the two parameters; time lag and perturbation parameters are sources for the simultaneous occurrence of time-consuming and high speed phenomena of the physical systems that depends on the present and past history, our study here is to capture the effect of the two parameters on the boundary layer. The spatial derivative is suitably replaced by a difference operator followed by the time derivative is replaced by the Crank-Nicolson based scheme. A second-order parameter-uniform error bounds are established to provide numerical results.


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