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arXiv.org e-Print Archive
Preprint . 2016
Data sources: arXiv.org e-Print Archive
https://dx.doi.org/10.48550/ar...
Article . 2016
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Reproducing kernel method for PDE constrained optimization

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 01 Jan 2016Embargo end date: 01 Jan 2016Publisher:arXiv
Authors: Darehmiraki, Majid;

doi: 10.48550/arxiv.1611.02381

arXiv: http://arxiv.org/abs/1611.02381

Reproducing kernel method for PDE constrained optimization

Abstract

This paper presents reproducing kernel Hilbert spaces method to obtain the numerical solution for partial differential equation constrained optimization problem.

6 figure

Keywords

Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Optimization and Control, 65M70, 49k20

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citations
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!
0
Average
Average
Average
Green