American Psychological Association 6th edition

Ryckelynck, D., Casenave, F., & Akkari, N. [ca. 2024]. Manifold Learning : Model Reduction in Engineering. In Springer Briefs in Computer Science (1 st ed. 2024) [Cd]. Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-52764-7

ISO-690 (author-date, English)

RYCKELYNCK, David, CASENAVE, Fabien und AKKARI, Nissrine, 2024. Manifold Learning : Model Reduction in Engineering. 1 st ed. 2024. Cham: Springer Nature Switzerland. ISBN 9783031527647.

Modern Language Association 9th edition

Ryckelynck, D., F. Casenave, und N. Akkari. „Manifold Learning : Model Reduction in Engineering“. Springer Briefs in Computer Science, 1 st ed. 2024, cd, Springer Nature Switzerland, 2024, https://doi.org/10.1007/978-3-031-52764-7.

Mohr Siebeck - Recht (Deutsch - Österreich)

Ryckelynck, David/Casenave, Fabien/Akkari, Nissrine: Manifold Learning : Model Reduction in Engineering, 1 st ed. 2024. Aufl. Cham 2024.

Emerald - Harvard

Ryckelynck, D., Casenave, F. und Akkari, N. (2024), Manifold Learning : Model Reduction in Engineering, Springer Briefs in Computer Science, 1 st ed. 2024., Bd. , Springer Nature Switzerland, Cham, verfügbar unter:https://doi.org/10.1007/978-3-031-52764-7.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.