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Automatic differentiation of uncertainties: an interval computational differentiation for first and higher derivatives with implementation
Acquiring reliable knowledge amidst uncertainty is a topical issue of modern science. Interval mathematics has proved to be of central importance in coping with uncertainty and imprecision. Algorithmic differentiation, being superior to both numeric and symbolic differentiation, is nowadays one of t...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280627/ https://www.ncbi.nlm.nih.gov/pubmed/37346667 http://dx.doi.org/10.7717/peerj-cs.1301 |