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Trust-region problems with linear inequality constraints: exact SDP relaxation, global optimality and robust optimization

Overview of attention for article published in Mathematical Programming, September 2013
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1 X user

Citations

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76 Dimensions

Readers on

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27 Mendeley
Title
Trust-region problems with linear inequality constraints: exact SDP relaxation, global optimality and robust optimization
Published in
Mathematical Programming, September 2013
DOI 10.1007/s10107-013-0716-2
Authors

V. Jeyakumar, G. Y. Li

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Russia 1 4%
Unknown 25 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 30%
Researcher 3 11%
Student > Master 3 11%
Professor 2 7%
Lecturer > Senior Lecturer 2 7%
Other 3 11%
Unknown 6 22%
Readers by discipline Count As %
Engineering 8 30%
Mathematics 7 26%
Computer Science 2 7%
Business, Management and Accounting 1 4%
Decision Sciences 1 4%
Other 1 4%
Unknown 7 26%
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 04 July 2015.
All research outputs
#20,282,766
of 22,816,807 outputs
Outputs from Mathematical Programming
#588
of 677 outputs
Outputs of similar age
#177,879
of 203,338 outputs
Outputs of similar age from Mathematical Programming
#1
of 3 outputs
Altmetric has tracked 22,816,807 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 677 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 203,338 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them