Reconstructing Generalized Exponential Laws by Self-Similar Exponential Approximants
arXiv:cond-mat/0204326 · doi:10.1142/S012918310300470X
Abstract
We apply the technique of self-similar exponential approximants based on successive truncations of continued exponentials to reconstruct functional laws of the quasi-exponential class from the knowledge of only a few terms of their power series. Comparison with the standard Padé approximants shows that, in general, the self-similar exponential approximants provide significantly better reconstructions.
Revtex file, 21 pages, 21 figures