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Mathematical Programming
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Mathematical Programming
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Benchmarking optimization software with performance profiles

Benchmarking optimization software with performance profiles.
descriptionPublicationkeyboard_double_arrow_right Article , Preprint 01 Jan 2002Embargo end date: 01 Jan 2001Publisher:Springer Science and Business Media LLCJournal:Mathematical Programming, volume 91, pages 201-213 (issn: 0025-5610, eissn: 1436-4646, Copyright policy )Funded by:NSF | Challenges in CISE: Metac..., NSF | ITR: Advanced Application...
Authors: Elizabeth D. Dolan; Jorge J. Moré;

doi: 10.1007/s101070100263 , 10.48550/arxiv.cs/0102001

arXiv: cs/0102001

Benchmarking optimization software with performance profiles

Abstract

We propose performance profiles-distribution functions for a performance metric-as a tool for benchmarking and comparing optimization software. We show that performance profiles combine the best features of other tools for performance evaluation.

13 pages plus title and toc pages

Related Organizations
Keywords

G.4, FOS: Computer and information sciences, G.4; G.1.6, Software, source code, etc. for problems pertaining to operations research and mathematical programming, Nonlinear programming, G.1.6, Computational methods for problems pertaining to operations research and mathematical programming, Computer Science - Mathematical Software, Mathematical Software (cs.MS)

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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).
    		 3K
    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.
    		 Top 0.01%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 0.01%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 1%
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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!
3K
Top 0.01%
Top 0.01%
Top 1%
Green
bronze