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Optimal rates of linear convergence of the averaged alternating modified reflections method for two subspaces

Overview of attention for article published in Numerical Algorithms, October 2018
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Title
Optimal rates of linear convergence of the averaged alternating modified reflections method for two subspaces
Published in
Numerical Algorithms, October 2018
DOI 10.1007/s11075-018-0608-x
Authors

Francisco J. Aragón Artacho, Rubén Campoy

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 November 2017.
All research outputs
#18,575,287
of 23,852,579 outputs
Outputs from Numerical Algorithms
#108
of 156 outputs
Outputs of similar age
#250,272
of 348,090 outputs
Outputs of similar age from Numerical Algorithms
#2
of 3 outputs
Altmetric has tracked 23,852,579 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 156 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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