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The Neumann problem on ellipsoids

Overview of attention for article published in Journal of Applied Mathematics and Computing, April 2017
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Title
The Neumann problem on ellipsoids
Published in
Journal of Applied Mathematics and Computing, April 2017
DOI 10.1007/s12190-017-1105-4
Pubmed ID
Authors

Sheldon Axler, Peter J. Shin

Abstract

The Neumann problem on an ellipsoid in R n asks for a function harmonic inside the ellipsoid whose normal derivative is some specified function on the ellipsoid. We solve this problem when the specified function on the ellipsoid is a normalized polynomial (a polynomial divided by the norm of the normal vector arising from the definition of the ellipsoid). Specifically, we give a necessary and sufficient condition for a solution to exist, and we show that if a solution exists then it is a polynomial whose degree is at most the degree of the polynomial giving the specified function. Furthermore, we give an algorithm for computing this solution. We also solve the corresponding generalized Neumann problem and give an algorithm for computing its solution.

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Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Physics and Astronomy 2 100%
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 29 April 2017.
All research outputs
#15,457,417
of 22,968,808 outputs
Outputs from Journal of Applied Mathematics and Computing
#14
of 39 outputs
Outputs of similar age
#193,689
of 309,813 outputs
Outputs of similar age from Journal of Applied Mathematics and Computing
#1
of 3 outputs
Altmetric has tracked 22,968,808 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 39 research outputs from this source. They receive a mean Attention Score of 1.9. This one scored the same or higher as 25 of them.
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 309,813 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% 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