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LINPRO: linear inverse problem library for data contaminated by statistical noise

Published 25 Oct 2011 in cs.MS, hep-lat, and physics.data-an | (1110.5441v2)

Abstract: The library LINPRO which provides solution to the linear inverse problem for data contaminated by a statistical noise is presented. The library makes use of two methods: Maximum Entropy Method and Singular Value Decomposition. As an example it has been applied to perform an analytic continuation of the imaginary time propagator obtained within the Quantum Monte Carlo method.

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