Misc,

Constrained Dynamic Mode Decomposition - Supplemental Material

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Software, (2022)Related to: Tim Krake, Daniel Klötzl, Bernhard Eberhardt and Daniel Weiskopf, "Constrained Dynamic Mode Decomposition", in IEEE Transactions on Visualization and Computer Graphics, 2022. doi: 10.1109/TVCG.2022.3209437.
DOI: 10.18419/darus-3107

Abstract

In this supplemental material, we provide additional application results of constrained Dynamic Mode Decomposition and a parameter study for the delay parameter d that complement the evaluation in the main document: The paper on Constrained Dynamic Mode Decomposition published with IEEE Transactions on Visualization and Computer Graphics. In this context, a univariate time series is considered, where no prior knowledge about seasonal patterns or time-scales is assumed. The dataset describes the sales of new one-family houses sold in the USA (1963-1990).

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