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

Published: 1 October 2012| Version 1 | DOI: 10.17632/ct4zj2pfcc.1
Piotr Magierski, Gabriel Wlazłowski


This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract The library LINPRO which provides the 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. Title of program: LINPRO v1.0 Catalogue Id: AEMT_v1_0 Nature of problem LINPRO library solves linear inverse problems with arbitrary kernel and arbitrary external constraints imposed on the solution. Versions of this program held in the CPC repository in Mendeley Data AEMT_v1_0; LINPRO v1.0; 10.1016/j.cpc.2012.05.005



Computational Physics, Computational Method