Open Access
Issue |
MATEC Web Conf.
Volume 347, 2021
12th South African Conference on Computational and Applied Mechanics (SACAM2020)
|
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Article Number | 00001 | |
Number of page(s) | 12 | |
DOI | https://doi.org/10.1051/matecconf/202134700001 | |
Published online | 23 November 2021 |
- Conrad, P.R., Girolami, M., Särkkä, S. Stuart, A. and Zygalakis, K., “Statistical analysis of differential equations: introducing probability measures on numerical solutions,” Statistics and Computing 27, 1065–1082, (2017). [CrossRef] [Google Scholar]
- Schober, M., Särkkä, S. and Hennig, P., “A probabilistic model for the numerical solution of initial value problems,” Statistics and Computing 29, 99–122, (2019). [CrossRef] [Google Scholar]
- Lie, H.C., Stuart, A.M. and Sullivan, T.J., “Strong convergence rates of probabilistic integrators for ordinary differential equations, ” Statistics and Computing, 29, 1265–1283 (2019). [CrossRef] [Google Scholar]
- Oats, C.J., Sullivan, T.J., “A modern retrospective on probabilistic numerics,” Statistics and Computing 29, 1335–1351 (2019). [CrossRef] [Google Scholar]
- Shampine, L.F., Numerical Solution of Ordinary Differential Equations Chapman and Hall, (1994). ISBN 0-412-05151-6 [Google Scholar]
- Butcher, J.C., “Numerical methods for ordinary differential equations in the 20th century,” Journal of Computational and Applied Mathematics 125, 1-29, (2000). [CrossRef] [Google Scholar]
- Särkkä, S. and Solin, A., Applied Stochastic Differential Equations, Cambridge University Press, (2019). [CrossRef] [Google Scholar]
- Burrage, K; Burrage, P.; Higham, D. J.; Kloeden, P. E. and Platen, E., “Comment on ‘Numerical methods for stochastic differential equations’, ” Physical Review Part E, 74, 68701, (2006). [CrossRef] [Google Scholar]
- Jazwinski, A. Stochastic Processes and Filtering Theory Academic Press, (1970). [Google Scholar]
- Mazzoni, T., “Computational aspects of continuous–discrete extended Kalmanfiltering,” Computational Statistics, 23, 519–539, (2008). [CrossRef] [Google Scholar]
- Paul Frogerais, P., Bellanger, J. and Senhadji, L., “Various Ways to Compute the Continuous-Discrete Extended Kalman Filter,” IEEE Transactions on Automatic Control, 57 (4), 1000-1004, (2012). [CrossRef] [Google Scholar]
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