Results 31 to 40 of about 6,618 (260)
Combined proper orthogonal decompositions of orthogonal subspaces
, 2023 9 pages, 3 ...
Olesen, Peder J. +2 more
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Acceleration of Gas Reservoir Simulation Using Proper Orthogonal Decomposition
Geofluids, 2018 High-precision and high-speed reservoir simulation is important in engineering. Proper orthogonal decomposition (POD) is introduced to accelerate the reservoir simulation of gas flow in single-continuum porous media via establishing a reduced-order model
Yi Wang, Bo Yu, Ye Wang
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AIP Advances, 2020 A common interpretation is presented for four powerful modal decomposition techniques: “proper orthogonal decomposition,” “smooth orthogonal decomposition,” “state-variable decomposition,” and “dynamic mode decomposition.” It is shown that, in certain ...
Arham Amin Khan +2 more
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Investigation of proper orthogonal decomposition for echo state networks
Neurocomputing, 2023 Echo State Networks (ESN) are a type of Recurrent Neural Network that yields promising results in representing time series and nonlinear dynamic systems. Although they are equipped with a very efficient training procedure, Reservoir Computing strategies, such as the ESN, require high-order networks, i.e., many neurons, resulting in a large number of ...
Jean Panaioti Jordanou +3 more
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A randomized balanced proper orthogonal decomposition technique
Journal of Computational and Applied Mathematics, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dan Yu, Suman Chakravorty
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Localised Proper Orthogonal Decomposition
Theoretical and Computational Fluid DynamicsProper Orthogonal Decomposition (POD) extracts an optimal orthonormal basis for reconstructing a sequence of data. This technique is widely used in fluid mechanics to construct reduced-order models for physical analysis, modelling, estimation, and control.
Elhaddad, Dyhia +3 more
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FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Understanding Cavity Flows Using Proper Orthogonal Decomposition and Signal Processing
Journal of Algorithms & Computational Technology, 2010 Computational Fluid Dynamics (CFD) is increasingly being used to analyse complex flows. However, to perform a comprehensive analysis over a given time period, a large amount of data is provided and therefore a method for reducing the storage requirements
S.J. Lawson, G.N. Barakos, A. Simpson
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Proper Orthogonal Decomposition Analysis and Dispersion Characteristics of Resonant Acoustic Flow
Shock and Vibration, 2020 The investigation on the flow field and mixing characteristics of resonant sound mixing is of great significance for the dispersion mixing of superfine materials.
Xiaopeng Wang +4 more
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A Tutorial on the Proper Orthogonal Decomposition [PDF]
AIAA Aviation 2019 Forum, 2019 This tutorial introduces the Proper Orthogonal Decomposition (POD) to engineering students and researchers interested in its use in fluid dynamics and aerodynamics. The objectives are firstly to give an intuitive feel for the method and secondly to provide example MATLAB codes of common POD algorithms.
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