Physics – Computational Physics
Scientific paper
2007-07-31
Physics
Computational Physics
Scientific paper
One of the few methods for generating efficient function spaces for multi-D Schrodinger eigenproblems is given by Garashchuk and Light in J.Chem.Phys. 114 (2001) 3929. Their Gaussian basis functions are wider and sparser in high potential regions, and narrower and denser in low ones. We suggest a modification of their approach based on the following observation: In very steep potential regions, wide, sparse, Gaussians should be avoided even if their centers have high potential values. Our numerical results illustrate that a dramatic improvement in accuracy may be obtained in this way. We also compare the errors of collocation to those of a Galerkin approach, test a criterion for scaling Gaussian widths based on deviation from orthogonality of collocation eigenfunctions, and suggest a criterion for scaling Gaussian widths based on Hamiltonian trace minimization.
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