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PREDICT-EPFL/piqp: v0.5.0

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 21 Jun 2024Publisher:Zenodo
Authors: Roland Schwan; redstone99; Jonathan Frey;

doi: 10.5281/zenodo.15039942 , 10.5281/zenodo.13165869 , 10.5281/zenodo.12263025 , 10.5281/zenodo.12205481

PREDICT-EPFL/piqp: v0.5.0

Abstract

What's Changed In the sparse interface for Python A, b, G, and h are now None by default Use Cholesky decomposition instead of LDLt factorization in dense interface New KKT solver backend sparse_multistage for multistage optimization problems #14 Fix the run_time calculation, i.e., now it's run_time = setup_time/update_time + solve_time and not accumulated over multiple runs. Full Changelog: https://github.com/PREDICT-EPFL/piqp/compare/v0.4.2...v0.5.0

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average