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fenics-optim -- Convex optimization interface in FEniCS

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 10 Jan 2020Publisher:Zenodo
Authors: Jérémy Bleyer;

doi: 10.5281/zenodo.3778848 , 10.5281/zenodo.3604086 , 10.5281/zenodo.5833932

fenics-optim -- Convex optimization interface in FEniCS

Abstract

fenics-optim is a Python library that aims at providing a simple user interface in FEniCS for solving convex optimization problems. In particular, it relies on the Mosek mathematical programming library. In particular, Mosek is a state-of-the art solver for linear programming (LP), convex quadratic programming (QP), second-order conic programming (SOCP) and semi-definite programming (SDP). The project can be accessed at https://gitlab.enpc.fr/navier-fenics/fenics-optim

Keywords

convex optimization, FEniCS, conic programming

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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