Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators : RAMSES. [ca. 2024]. In G. Rozza, G. Stabile, M. Gunzburger, & M. D’Elia (Hrsg.), Lecture Notes in Computational Science and Engineering (1 st ed. 2024) [Cd]. Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-55060-7
ISO-690 (author-date, English)ROZZA, Gianluigi, STABILE, Giovanni, GUNZBURGER, Max und D’ELIA, Marta (Hrsg.). 1 st ed. 2024. Cham: Springer Nature Switzerland. ISBN 9783031550607.
Modern Language Association 9th editionRozza, G., G. Stabile, M. Gunzburger, und M. D’Elia, Herausgeber. „Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators : RAMSES“. Lecture Notes in Computational Science and Engineering, 1 st ed. 2024, cd, Springer Nature Switzerland, 2024, https://doi.org/10.1007/978-3-031-55060-7.
Mohr Siebeck - Recht (Deutsch - Österreich): Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators : RAMSES, 1 st ed. 2024. Aufl. Cham 2024.
Emerald - HarvardRozza, G., Stabile, G., Gunzburger, M. und D’Elia, M. (Hrsg.). (2024), Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators : RAMSES, Lecture Notes in Computational Science and Engineering, 1 st ed. 2024., Bd. , Springer Nature Switzerland, Cham, verfügbar unter:https://doi.org/10.1007/978-3-031-55060-7.