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  2. Numerical experiments to "High-frequency wave-propagation: error analysis for analytical and numerical approximations"
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    Datenpaket: Numerical experiments to "High-frequency wave-propagation: error analysis for analytical and numerical approximations"

    Alternativer Identifier:
    (KITopen-DOI) 10.5445/IR/1000149721
    Verwandter Identifier:
    -
    Ersteller/in:
    Baumstark, Julian [Institut für Angewandte und Numerische Mathematik, Sonderforschungsbereich 1173]
    Beitragende:
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    Titel:
    Numerical experiments to "High-frequency wave-propagation: error analysis for analytical and numerical approximations"
    Weitere Titel:
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    Beschreibung:
    (Abstract) This code has been used for the numerical experiments in the thesis "High-frequency wave-propagation: error analysis for analytical and numerical approximations" by Julian Baumstark, see https://www.doi.org/10.5445/IR/1000149719.
    (Technical Remarks) The scripts are intended to reproduce the figures from the thesis "High-frequency wave-propagation: error analysis for analytical and numerical approximations" by Julian Baumstark ################################################################################ #### Requirements The codes are tested on Ubuntu 18.04 LTS with Matlab R2020a ################################################################################ #### Generation of figures With this code Figures 3.1, 3.2, 4.1, 4.2, 4.3, 5.1, and 5.2 can be generated. The calculation of the data for Figure 4.1, 4.2, 4.3, 5.1 and 5.2 takes a few days and requires a storage space of about 140 GB. #### Figure 3.1 and 3.2 In order to obtain Figure 3.X (X=1 or 2) run the command visualize_Fig3X.m in Matlab. #### Figure 4.1, 4.2 and 4.3 Open folder "Chapter_4" in Matlab. In order to obtain Figure 4.X (X=1 or 2 or 3) first run the command kleingordon_analytical_approx.m to compute the data. Then, run visualize_Fig4X.m in Matlab. #### Figure 5.1 and 5.2 Open folder "Chapter_5" in Matlab. In order to obtain Figure 5.X (X=1 or 2) first run the command kleingordon_numerical_approx.m to compute the data. Then, run visualize_Fig5X.m in Matlab.
    Schlagworte:
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    Zugehörige Informationen:
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    Sprache:
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    Herausgeber/in:
    Karlsruhe Institute of Technology
    Erstellungsjahr:
    Fachgebiet:
    Mathematics
    Objekttyp:
    Dataset
    Datenquelle:
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    Verwendete Software:
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    Datenverarbeitung:
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    Erscheinungsjahr:
    Rechteinhaber/in:
    Baumstark, Julian
    Förderung:
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    Name Speichervolumen Metadaten Upload Aktion
    Status:
    Publiziert
    Eingestellt von:
    kitopen
    Erstellt am:
    Archivierungsdatum:
    2023-06-21
    Archivgröße:
    47,1 kB
    Archiversteller:
    kitopen
    Archiv-Prüfsumme:
    84bf5ba07623e1f88f50944b4e29d175 (MD5)
    Embargo-Zeitraum:
    -