The Picture Book of Quantum Mechanics
The Picture Book of Quantum Mechanics
Algorithms in C++
Spectral methods in MatLab
Strang Splitting for the Time-Dependent Schrödinger Equation on Sparse Grids
SIAM Journal on Numerical Analysis
Fast discrete algorithms for sparse Fourier expansions of high dimensional functions
Journal of Complexity
Nonequispaced Hyperbolic Cross Fast Fourier Transform
SIAM Journal on Numerical Analysis
Sparse Spectral Approximations of High-Dimensional Problems Based on Hyperbolic Cross
SIAM Journal on Numerical Analysis
B-spline quasi-interpolation on sparse grids
Journal of Complexity
Interpolation lattices for hyperbolic cross trigonometric polynomials
Journal of Complexity
Efficient Spectral Sparse Grid Methods and Applications to High-Dimensional Elliptic Problems
SIAM Journal on Scientific Computing
Multidimensional pseudo-spectral methods on lattice grids
Applied Numerical Mathematics
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The pseudo-spectral method together with a Strang-splitting are well suited for the discretization of the time-dependent Schrödinger equation with smooth potential. The curse of dimensionality limits this approach to low dimensions, if we stick to full grids. Theoretically, sparse grids allow accurate computations in (moderately) higher dimensions, provided that we supply an efficient Fourier transform. Motivated by this application, the design of the Fourier transform on sparse grids in multiple dimensions is described in detail. The focus of this presentation is on issues of flexible implementation and numerical studies of the convergence.