Jastrzęb, T., Czech, Z. J., & Wieczorek, W. (2022). An adaptive parallel algorithm for finite language decomposition. Applied Intelligence: The International Journal of Research on Intelligent Systems for Real Life Complex Problems, 52(3), 3029-3050. https://doi.org/10.1007/s10489-021-02488-y
ISO-690 (author-date, English)JASTRZĘB, Tomasz, CZECH, Zbigniew J. und WIECZOREK, Wojciech, 2022. An adaptive parallel algorithm for finite language decomposition. Applied Intelligence: The International Journal of Research on Intelligent Systems for Real Life Complex Problems. 1 Februar 2022. Vol. 52, no. 3, p. 3029-3050. DOI 10.1007/s10489-021-02488-y.
Modern Language Association 9th editionJastrzęb, T., Z. J. Czech, und W. Wieczorek. „An Adaptive Parallel Algorithm for Finite Language Decomposition“. Applied Intelligence: The International Journal of Research on Intelligent Systems for Real Life Complex Problems, Bd. 52, Nr. 3, Februar 2022, S. 3029-50, https://doi.org/10.1007/s10489-021-02488-y.
Mohr Siebeck - Recht (Deutsch - Österreich)Jastrzęb, Tomasz/Czech, Zbigniew J./Wieczorek, Wojciech: An adaptive parallel algorithm for finite language decomposition, Applied Intelligence: The International Journal of Research on Intelligent Systems for Real Life Complex Problems 2022, 3029-3050.
Emerald - HarvardJastrzęb, T., Czech, Z.J. und Wieczorek, W. (2022), „An adaptive parallel algorithm for finite language decomposition“, Applied Intelligence: The International Journal of Research on Intelligent Systems for Real Life Complex Problems, Vol. 52 No. 3, S. 3029-3050.