Meng, F., Richer, M., Tehrani, A., La, J., Kim, T. D., Ayers, P. W., & Heidar-Zadeh, F. (2022). Procrustes: A python library to find transformations that maximize the similarity between matrices. Computer Physics Communications, 276. https://doi.org/10.1016/j.cpc.2022.108334
ISO-690 (author-date, English)MENG, Fanwang, RICHER, Michael, TEHRANI, Alireza, LA, Jonathan, KIM, Taewon David, AYERS, Paul W. und HEIDAR-ZADEH, Farnaz, 2022. Procrustes: A python library to find transformations that maximize the similarity between matrices. Computer Physics Communications. 1 Juli 2022. Vol. 276, , . DOI 10.1016/j.cpc.2022.108334.
Modern Language Association 9th editionMeng, F., M. Richer, A. Tehrani, J. La, T. D. Kim, P. W. Ayers, und F. Heidar-Zadeh. „Procrustes: A Python Library to Find Transformations That Maximize the Similarity Between Matrices“. Computer Physics Communications, Bd. 276, Juli 2022, https://doi.org/10.1016/j.cpc.2022.108334.
Mohr Siebeck - Recht (Deutsch - Österreich)Meng, Fanwang/Richer, Michael/Tehrani, Alireza/La, Jonathan/Kim, Taewon David/Ayers, Paul W. u. a.: Procrustes: A python library to find transformations that maximize the similarity between matrices, Computer Physics Communications 2022,
Emerald - HarvardMeng, F., Richer, M., Tehrani, A., La, J., Kim, T.D., Ayers, P.W. und Heidar-Zadeh, F. (2022), „Procrustes: A python library to find transformations that maximize the similarity between matrices“, Computer Physics Communications, Vol. 276, verfügbar unter:https://doi.org/10.1016/j.cpc.2022.108334.