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An Adaptive Data-Driven Reduced Order Model Based on Higher Order Dynamic Mode Decomposition., , и . J. Sci. Comput., 92 (1): 12 (2022)ModelFLOWs-app: Data-driven post-processing and reduced order modelling tools., , , , , , , , и . Comput. Phys. Commun., (2024)ModelFLOWs-app: data-driven post-processing and reduced order modelling tools., , , , , , , , и . CoRR, (2023)Data-driven eigensolution analysis based on a spatio-temporal Koopman decomposition, with applications to high-order methods., , и . J. Comput. Phys., (2022)A Novel Data Augmentation Tool for Enhancing Machine Learning Classification: A New Application of the Higher Order Dynamic Mode Decomposition for Improved Cardiac Disease Identification., , , , , , и . CoRR, (2024)Automatic Cardiac Pathology Recognition in Echocardiography Images using Higher Order Dynamic Mode Decomposition and a Vision Transformer for Small Datasets., , , , , и . Expert Syst. Appl., (2025)Modeling Double Concentric Jets Using Linear and Non-linear Approaches., , , , и . SOCO, том 1268 из Advances in Intelligent Systems and Computing, стр. 451-459. Springer, (2020)Higher Order Dynamic Mode Decomposition and its Applications, и . Academic, (2020)Higher order dynamic mode decomposition, и . глава 2, стр. 29-83. Academic Press, (2021)LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements., , и . CoRR, (2024)