Mockus, J., Eddy, W., Mockus, A., Mockus, L., & Reklaitis, G. [ca. 1997]. Bayesian Heuristic Approach to Discrete and Global Optimization : Algorithms, Visualization, Software, and Applications. In Nonconvex Optimization and Its Applications [Cd]. Boston, MA: Imprint: Springer. https://doi.org/10.1007/978-1-4757-2627-5
ISO-690 (author-date, English)MOCKUS, Jonas, EDDY, William, MOCKUS, Audris, MOCKUS, Linas und REKLAITIS, Gintaras, 1997. Bayesian Heuristic Approach to Discrete and Global Optimization : Algorithms, Visualization, Software, and Applications. Boston, MA: Imprint: Springer. ISBN 9781475726275.
Modern Language Association 9th editionMockus, J., W. Eddy, A. Mockus, L. Mockus, und G. Reklaitis. „Bayesian Heuristic Approach to Discrete and Global Optimization : Algorithms, Visualization, Software, and Applications“. Nonconvex Optimization and Its Applications, cd, Imprint: Springer, 1997, https://doi.org/10.1007/978-1-4757-2627-5.
Mohr Siebeck - Recht (Deutsch - Österreich)Mockus, Jonas/Eddy, William/Mockus, Audris/Mockus, Linas/Reklaitis, Gintaras: Bayesian Heuristic Approach to Discrete and Global Optimization : Algorithms, Visualization, Software, and Applications, Boston, MA 1997.
Emerald - HarvardMockus, J., Eddy, W., Mockus, A., Mockus, L. und Reklaitis, G. (1997), Bayesian Heuristic Approach to Discrete and Global Optimization : Algorithms, Visualization, Software, and Applications, Nonconvex Optimization and Its Applications, Bd. , Imprint: Springer, Boston, MA, verfügbar unter:https://doi.org/10.1007/978-1-4757-2627-5.