Poles and Residues Method for Numerical Analytic Continuation
POSTER
Abstract
This work is based on our previous paper, Rational function regression method for numerical analytic continuation (arXiv:1812.01817).
One observation(FIG. 3) is, most zeros and poles collapse when the recovery is good. Poles and residues keep the most useful information.
In this work, we will use poles and residues to parametrize the problem.
One observation(FIG. 3) is, most zeros and poles collapse when the recovery is good. Poles and residues keep the most useful information.
In this work, we will use poles and residues to parametrize the problem.
Presenters
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Jian Wang
UCLA Foundation
Authors
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Jian Wang
UCLA Foundation