The open source ALPS (Algorithms and Libraries for Physics Simulations) project provides a collection of physics libraries and applications, with a focus on simulations of lattice models and strongly correlated electron systems. The libraries provide a convenient set of well-documented and reusable components for developing condensed matter physics simulation codes, and the applications strive to make commonly used and proven computational algorithms available to a non-expert community. In this paper we present an update of the core ALPS libraries. We present in particular new Monte Carlo libraries and new Green's function libraries.
@article{arxiv.1811.08331,
title = {Updated Core Libraries of the ALPS Project},
author = {Markus Wallerberger and Sergei Iskakov and Alexander Gaenko and Joseph Kleinhenz and Igor Krivenko and Ryan Levy and Jia Li and Hiroshi Shinaoka and Synge Todo and Tianran Chen and Xi Chen and James P. F. LeBlanc and Joseph E. Paki and Hanna Terletska and Matthias Troyer and Emanuel Gull},
journal= {arXiv preprint arXiv:1811.08331},
year = {2018}
}
Comments
14 pages, 3 figures, 4 tables; submitted to Comput. Phys. Commun. arXiv admin note: text overlap with arXiv:1609.03930