Numerical Algorithms for Schrödinger Equation with Artificial Boundary Conditions

We consider a one-dimensional linear Schrödinger problem defined on an infinite domain and approximated by the Crank–Nicolson type finite difference scheme. To solve this problem numerically we restrict the computational domain by introducing the reflective, absorbing or transparent artificial boundary conditions. We investigate the conservativity of the discrete scheme with respect to the mass and energy of the solution. Results of computational experiments are presented and the efficiency of different artificial boundary conditions is discussed.

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