A kernel regression approach for identification of first order differential equations based on functional data. (May 2022)
- Record Type:
- Journal Article
- Title:
- A kernel regression approach for identification of first order differential equations based on functional data. (May 2022)
- Main Title:
- A kernel regression approach for identification of first order differential equations based on functional data
- Authors:
- Li, X.Y.
Wu, B.Y. - Abstract:
- Abstract: Differential equations models for functional data play a strong role in economics, medicine, and so on. It is challenging to identify a linear differential operator from functional data. The purpose of this letter is to find a new identification approach for differential equations models based on functional data. The effectiveness of our approaches are verified through numerical experiments.
- Is Part Of:
- Applied mathematics letters. Volume 127(2022)
- Journal:
- Applied mathematics letters
- Issue:
- Volume 127(2022)
- Issue Display:
- Volume 127, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 127
- Issue:
- 2022
- Issue Sort Value:
- 2022-0127-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-05
- Subjects:
- Kernel method -- Functional data analysis -- Identification
Applied mathematics -- Periodicals
519.05 - Journal URLs:
- http://www.sciencedirect.com/science/journal/08939659 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.aml.2021.107832 ↗
- Languages:
- English
- ISSNs:
- 0893-9659
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1573.880000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20355.xml