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- 1$\begingroup$ Yes, I'm interested in matrix of size range from 200 to 2000. We are working on high harmonic generation from atoms, which requires large-scale simulations sometimes. $\endgroup$xslittlegrass– xslittlegrass2016-05-15 01:35:41 +00:00Commented May 15, 2016 at 1:35
- 1$\begingroup$ Are you aware of subroutines in BLAS or MKL that can perform matrix number multiplication? I only found xSCAL that does the vector number multiplication, but there are no counterparts for matrix. $\endgroup$xslittlegrass– xslittlegrass2016-05-15 01:56:37 +00:00Commented May 15, 2016 at 1:56
- 1$\begingroup$ @xslittlegrass BLAS is based on FORTRAN. Matrices in FORTRAN can be seen as vectors. (Unfolding is column-wise). So axpy is the one to apply. $\endgroup$Anton Antonov– Anton Antonov2016-05-15 08:40:10 +00:00Commented May 15, 2016 at 8:40
- 1$\begingroup$ @TheDoctor Here is one of the classical reference. $\endgroup$xslittlegrass– xslittlegrass2016-05-30 15:52:00 +00:00Commented May 30, 2016 at 15:52
- 1$\begingroup$ @xslittlegrass: this reference mentions that the time-dependent Schrodinger equation is integrated directly on a numerical grid. I would have thought that one could use Chebyshev-polynomial expansion and the fast-Fourier-transform algorithm, modified for atoms exposed to an intense laser field. See, e.g., Electronic wave propagation with Mathematica (DOI: dx.doi.org/10.1016/S0010-4655(00)00196-X) $\endgroup$TheDoctor– TheDoctor2016-06-10 07:56:05 +00:00Commented Jun 10, 2016 at 7:56
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