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The University of Manchester - Institutional Repository
Conference object . 2005
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https://doi.org/10.1007/114288...
Part of book or chapter of book . 2005 . Peer-reviewed
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Conference object . 2005
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https://dx.doi.org/10.1007/114...
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Storage Formats for Sparse Matrices in Java

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Conference object , Article 01 Jan 2005 United Kingdom Publisher:Springer Berlin Heidelberg
Authors: Mikel Luján; Anila Usman; Patrick Hardie; T. L. Freeman; John R. Gurd;

doi: 10.1007/11428831_45

Storage Formats for Sparse Matrices in Java

Abstract

Many storage formats (or data structures) have been proposed to represent sparse matrices. This paper presents a performance evaluation in Java comparing eight of the most popular formats plus one recently proposed specifically for Java (by Gundersen and Steihaug [6] Java Sparse Array) using the matrix-vector multiplication operation. © Springer-Verlag Berlin Heidelberg 2005.

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    popularity
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    influence
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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!
5
Average
Top 10%
Average
bronze