Physics – Computational Physics
Scientific paper
2005-09-27
Physics
Computational Physics
19 pages, 10 figures
Scientific paper
10.1063/1.2150831
The radial Schrodinger equation for a spherically symmetric potential can be regarded as a one dimensional classical harmonic oscillator with a time-dependent spring constant. For solving classical dynamics problems, symplectic integrators are well known for their excellent conservation properties. The class of {\it gradient} symplectic algorithms is particularly suited for solving harmonic oscillator dynamics. By use of Suzuki's rule for decomposing time-ordered operators, these algorithms can be easily applied to the Schrodinger equation. We demonstrate the power of this class of gradient algorithms by solving the spectrum of highly singular radial potentials using Killingbeck's method of backward Newton-Ralphson iterations.
Anisimov Petr
Chin Siu A.
No associations
LandOfFree
Gradient Symplectic Algorithms for Solving the Radial Schrodinger Equation does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Gradient Symplectic Algorithms for Solving the Radial Schrodinger Equation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Gradient Symplectic Algorithms for Solving the Radial Schrodinger Equation will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-239056