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  Gaussian Process Regression for Data Fulfilling Linear Differential Equations with Localized Sources

Albert, C. G., & Rath, K. (2020). Gaussian Process Regression for Data Fulfilling Linear Differential Equations with Localized Sources. Entropy, 22(2): 152. doi:10.3390/e22020152.

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albert_gaussian.pdf (Supplementary material), 2MB
 
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https://doi.org/10.3390/e22020152 (Publisher version)
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Open Access
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 Creators:
Albert, C. G.1, 2, Author           
Rath, K.1, 2, Author           
Affiliations:
1Numerical Methods in Plasma Physics (NMPP), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856344              
2External Organizations, ou_persistent22              

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Free keywords: Konferenzbeitrag
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Language(s): eng - English
 Dates: 201620192020
 Publication Status: Published online
 Pages: 16 p.
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3390/e22020152
 Degree: -

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Title: Entropy
  Abbreviation : Entropy
Source Genre: Journal
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Publ. Info: Basel : MDPI
Pages: - Volume / Issue: 22 (2) Sequence Number: 152 Start / End Page: - Identifier: ISSN: 1099-4300
CoNE: https://pure.mpg.de/cone/journals/resource/110978984445793