Results 1 to 10 of about 5,625,691 (189)
AIP Advances, 2017 In this letter, we propose a simple and efficient framework of dynamic mode decomposition (DMD) and mode selection for large datasets. The proposed framework explicitly introduces a preconditioning step using an incremental proper orthogonal ...
Yuya Ohmichi
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On Alternative Algorithms for Computing Dynamic Mode Decomposition
Computation, 2022 Dynamic mode decomposition (DMD) is a data-driven, modal decomposition technique that describes spatiotemporal features of high-dimensional dynamic data.
Gyurhan Nedzhibov
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Identification of Linear Time-Invariant Systems with Dynamic Mode Decomposition [PDF]
Mathematics, 2022 Dynamic mode decomposition (DMD) is a popular data-driven framework to extract linear dynamics from complex high-dimensional systems. In this work, we study the system identification properties of DMD.
Jan Heiland, Benjamin Unger
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Visualization and selection of Dynamic Mode Decomposition components for unsteady flow
Visual Informatics, 2021 Dynamic Mode Decomposition (DMD) is a data-driven and model-free decomposition technique. It is suitable for revealing spatio-temporal features of both numerically and experimentally acquired data.
T. Krake +4 more
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Quantum Dynamic Mode Decomposition Algorithm for High-Dimensional Time Series Analysis
Intelligent Computing, 2023 The dynamic mode decomposition (DMD) algorithm is a widely used factorization and dimensionality reduction technique in time series analysis. When analyzing high-dimensional time series, the DMD algorithm requires extremely large amounts of computational
Cheng Xue +8 more
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CES Transactions on Electrical Machines and Systems, 2021 Model order reduction (MOR) is considered as a good alternative to reduce the computational scale for electro-magnetic problems. The aim of this work is to introduce the use of dynamic mode decomposition (DMD) as a promising tool for MOR to analyze its ...
Sarbajit Paul, Junghwan Chang
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Experimental Study of Dynamical Airfoil and Aerodynamic Prediction
Actuators, 2022 Dynamic stall is a critical limiting factor for airfoil aerodynamics and a challenging problem for active flow control. In this experimental study, dynamic stall was measured by high-frequency surface pressure tapes and pressure-sensitive paint (PSP ...
Zheyu Shi +3 more
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International Journal of Automotive Engineering, 2020 The structure of the flow field inside a torque converter was quantitatively evaluated using dynamic mode decomposition (DMD). The input time series data in the interference region of the cascade blades were measured using particle image velocimetry (PIV)
Yasunori Kunisaki +2 more
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Advances in Meteorology, 2020 In this paper, a frequently employed technique named the sparsity-promoting dynamic mode decomposition (SPDMD) is proposed to analyze the velocity fields of atmospheric motion.
Mei Gao +5 more
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Entropy, 2018 Dynamic mode decomposition (DMD) is essentially a hybrid algorithm based on mode decomposition and singular value decomposition, and it inevitably inherits the drawbacks of these two algorithms, including the selection strategy of truncated rank order ...
Zhang Dang +3 more
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