Yu, Y., Qian, H. und Hu, Y.-Q. (2025) Derivative-Free Optimization : Theoretical Foundations, Algorithms, and Applications [cd]. 1 st ed. 2025, Machine Learning: Foundations, Methodologies, and Applications. 1 st ed. 2025. Singapore: Springer Nature Singapore. doi:10.1007/978-981-96-5929-6.
Chicago Manual of Style 17th edition (full note)Yu, Yang, Hong Qian, und Yi-Qi Hu. Derivative-Free Optimization : Theoretical Foundations, Algorithms, and Applications. Cd. Machine Learning: Foundations, Methodologies, and Applications. 1 st ed. 2025. Singapore: Springer Nature Singapore, [2025?], Singapore: Springer Nature Singapore, [2025?]. https://doi.org/10.1007/978-981-96-5929-6.
American Psychological Association 7th editionYu, Y., Qian, H., & Hu, Y.-Q. (ca. 2025). Derivative-Free Optimization : Theoretical Foundations, Algorithms, and Applications [Cd]. In Machine Learning: Foundations, Methodologies, and Applications (1 st ed. 2025). Springer Nature Singapore. https://doi.org/10.1007/978-981-96-5929-6
Modern Language Association 9th editionYu, Y., H. Qian, und Y.-Q. Hu. „Derivative-Free Optimization : Theoretical Foundations, Algorithms, and Applications“. Machine Learning: Foundations, Methodologies, and Applications, 1 st ed. 2025, cd, Springer Nature Singapore, 2025, https://doi.org/10.1007/978-981-96-5929-6.
ISO-690 (author-date, Deutsch)YU, Yang, Hong QIAN und Yi-Qi HU, 2025. Derivative-Free Optimization : Theoretical Foundations, Algorithms, and Applications. 1 st ed. 2025. Singapore: Springer Nature Singapore. ISBN 9789819659296