Lan, G. [ca. 2020]. First-order and Stochastic Optimization Methods for Machine Learning. In Springer Series in the Data Sciences (1 st ed. 2020) [Cd]. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-39568-1
ISO-690 (author-date, English)LAN, Guanghui, 2020. First-order and Stochastic Optimization Methods for Machine Learning. 1 st ed. 2020. Cham: Springer International Publishing. ISBN 9783030395681.
Modern Language Association 9th editionLan, G. „First-order and Stochastic Optimization Methods for Machine Learning“. Springer Series in the Data Sciences, 1 st ed. 2020, cd, Springer International Publishing, 2020, https://doi.org/10.1007/978-3-030-39568-1.
Mohr Siebeck - Recht (Deutsch - Österreich)Lan, Guanghui: First-order and Stochastic Optimization Methods for Machine Learning, 1 st ed. 2020. Aufl. Cham 2020.
Emerald - HarvardLan, G. (2020), First-order and Stochastic Optimization Methods for Machine Learning, Springer Series in the Data Sciences, 1 st ed. 2020., Bd. , Springer International Publishing, Cham, verfügbar unter:https://doi.org/10.1007/978-3-030-39568-1.