DACO-PDE1D
Abstract/Contents
- Abstract
- Data Assimilation using Colored nOise for Partial Differential Equations (DACO-PDE) is a new software created to estimate state and parameters in space and time using spatio-temporal measurement data
Description
| Type of resource | Dataset |
|---|---|
| Publication date | January 31, 2024 |
Creators/Contributors
| Author | Cerepi, Mathieu | |
|---|---|---|
| Author | Hara, Kentaro |
https://orcid.org/0000-0002-1816-165X
(unverified)
|
Subjects
| Subject | data assimilation |
|---|---|
| Genre | Data |
| Genre | Database |
| Genre | Data sets |
| Genre | Dataset |
| Genre | Databases |
Bibliographic information
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution 4.0 International license (CC BY).
Preferred citation
- Preferred citation
- Cerepi, M. and Hara, K. (2024). DACO-PDE1D. Stanford Digital Repository. Available at https://purl.stanford.edu/bn582qg4620. https://doi.org/10.25740/bn582qg4620.
Collection
Stanford Research Data
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- Contact
- kenhara@stanford.edu
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