Applied and Computational Mathematics (ACM)

Publikationen



2021
M. Felpel, J. Kienitz and T. A. McWalter, "Effective stochastic volatility: Applications to {ZABR}-type models", Quantitative Finance, vol. 21, no. 5, pp. 837-852, 2021. Routledge.
E. Viviani, L. Di Persio and M. Ehrhardt, "Energy Markets Forecasting. From Inferential Statistics to Machine Learning: The German Case", Energies, vol. 14, no. 2, pp. 364, Jan. 2021. MDPI.
E. Viviani, L. Di Persio and M. Ehrhardt,Energy Markets Forecasting. From Inferential Statistics to Machine Learning: The German Case. Energies 2021, 14, 364, 2021.
T. Kossaczk{\'a}, M. Ehrhardt and M. Günther, "Enhanced fifth order {WENO} shock-capturing schemes with deep learning", Res. Appl. Math., vol. 12, pp. 100201, 2021. Elsevier.
T. Kossaczká, M. Ehrhardt and M. Günther, "Enhanced fifth order WENO shock-capturing schemes with deep learning", Results in Applied Mathematics, vol. 12, pp. 100201, 2021. Elsevier.

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