Numerical Approximation for Nonlinear Gas Dynamic Equation

Numerical methods for nonlinear Dirac equation

This paper presents a review of the current state-of-the-art of numerical methods for nonlinear Dirac (NLD) equation. Several methods are extendedly proposed for the (1+1)-dimensional NLD equation with the scalar and vector self-interaction and analyzed in the way of the accuracy and the time reversibility as well as the conservation of the discrete charge, energy and linear momentum. Those met...

Pseudo-spectral ‎M‎atrix and Normalized Grunwald Approximation for Numerical Solution of Time Fractional Fokker-Planck Equation

This paper presents a new numerical method to solve time fractional Fokker-Planck equation. The space dimension is discretized to the Gauss-Lobatto points, then we apply pseudo-spectral successive integration matrix for this dimension. This approach shows that with less number of points, we can approximate the solution with more accuracy. The numerical results of the examples are displayed.

Numerical Approximation of Singular Boundary Value Problems for a Nonlinear Differential Equation

In this work we are concerned about singular boundary value problems for certain nonlinear second order ordinary differential equations on finite and infinite domains. An asymptotic expansion is obtained for the family of solutions satisfying the boundary condition at the origin. In the case of infinite domains, the asymptotic behavior of the solutions is also analysed for large values of the i...

Emerging Problems in Approximation Theory for the Numerical Solution of the Nonlinear Schrödinger Equation

We present some open problems pertaining to the approximation theory involved in the solution of the Nonlinear Schrödinger (NLS) equation. For this important equation, any Initial Value Problem (IVP) can be theoretically solved by the Inverse Scattering Transform (IST) technique whose main steps involve the solution of Volterra equations with structured kernels on unbounded domains, the solutio...

On Numerical Approximation of Stochastic Burgers’ Equation