Constrained Dynamic Mode Decomposition - Supplemental Material
T. Krake, D. Klötzl, B. Eberhardt, and D. Weiskopf. 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).
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
%0 Generic
%1 krake2022constrained
%A Krake, Tim
%A Klötzl, Daniel
%A Eberhardt, Bernhard
%A Weiskopf, Daniel
%D 2022
%K darus mult ubs_10005 ubs_10017 ubs_20008 ubs_20035 ubs_30086 ubs_40132 unibibliografie
%R 10.18419/darus-3107
%T Constrained Dynamic Mode Decomposition - Supplemental Material
%X 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).
@misc{krake2022constrained,
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). },
added-at = {2022-11-14T16:46:48.000+0100},
affiliation = {Krake, Tim/Universität Stuttgart, Klötzl, Daniel/Universität Stuttgart, Eberhardt, Bernhard/Hochschule der Medien, Weiskopf, Daniel/Universität Stuttgart},
author = {Krake, Tim and Klötzl, Daniel and Eberhardt, Bernhard and Weiskopf, Daniel},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2a22ce52cb6b028f27ae8a48208079f9d/unibiblio},
doi = {10.18419/darus-3107},
howpublished = {Software},
interhash = {e7d2ebc4af313c69f064205812472178},
intrahash = {a22ce52cb6b028f27ae8a48208079f9d},
keywords = {darus mult ubs_10005 ubs_10017 ubs_20008 ubs_20035 ubs_30086 ubs_40132 unibibliografie},
note = {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},
orcid-numbers = {Klötzl, Daniel/0000-0002-4222-3320, Eberhardt, Bernhard/0000-0001-6428-4610, Weiskopf, Daniel/0000-0003-1174-1026},
timestamp = {2022-11-14T15:46:48.000+0100},
title = {Constrained Dynamic Mode Decomposition - Supplemental Material},
year = 2022
}