<?xml version="1.0" encoding="UTF-8" ?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-10-12T02:03:28Z</responseDate><request identifier="10.35097/1299" metadataPrefix="oai_dc" verb="GetRecord">https://www.radar-service.eu/oai/OAIHandler</request><GetRecord><record><header><identifier>10.35097/1299</identifier><datestamp>2026-10-09T10:59:22Z</datestamp><setSpec>radar4kit</setSpec></header><metadata><oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/"
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   <dc:identifier>https://dx.doi.org/10.35097/1299</dc:identifier>
   <dc:creator>Schrammer, Stefan</dc:creator>
   <dc:title>Numerical experiments to "Rank-adaptive dynamical low-rank integrators for first-order and second-order matrix differential equations"</dc:title>
   <dc:publisher>Karlsruhe Institute of Technology</dc:publisher>
   <dc:date>2023</dc:date>
   <dc:subject>Mathematics</dc:subject>
   <dc:type>dataset</dc:type>
   <dc:subject>Dataset</dc:subject>
   <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
   <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode</dc:rights>
   <dc:contributor>Hochbruck, Marlis</dc:contributor>
   <dc:contributor>Neher, Markus</dc:contributor>
   <dc:description>Instructions:&#xD;
&#xD;
The scripts inside the subfolders are intended to reproduce the figures from the&#xD;
preprint&#xD;
&gt; Rank-adaptive dynamical low-rank integrators for&#xD;
first-order and second-order matrix differential equations&#xD;
&#xD;
&#xD;
by Marlis Hochbruck, Markus Neher, and Stefan Schrammer&#xD;
&#xD;
Requirements&#xD;
&#xD;
The codes are tested with&#xD;
&#xD;
Ubuntu 20.04.2 LTS and Python 3.8.5 and the following version of its modules:&#xD;
&#xD;
        numpy       1.19.2&#xD;
        scipy       1.5.2&#xD;
        numba       0.51.2&#xD;
        colorama    0.4.4&#xD;
        h5py        2.10.0&#xD;
        matplotlib  3.3.2&#xD;
        tikzplotlib 0.9.6&#xD;
        &#xD;
Generation of figures (tikz files containing the data are also created)&#xD;
&#xD;
In the folder fracginz open a console and run the commands&#xD;
    1. to create the data for Figures (1) and (2)&#xD;
        python3 fgl.py&#xD;
    2. to create Figures (1) and (2)&#xD;
        python3 fgl_results.py&#xD;
        &#xD;
In the folder fracschr open a console and run the commands&#xD;
    3. to create the data for Figure (3)&#xD;
        python3 fsr.py&#xD;
    4. to create Figure (3)&#xD;
        python3 fsr_results.py&#xD;
        &#xD;
In the folder laserplasma open a console and run the commands&#xD;
    5. to create the data for Figures (4) and (5)&#xD;
        python3 lpi.py&#xD;
    6. to create Figures (4) and (5)&#xD;
        python3 lpi_globalerr.py&#xD;
        python3 lpi_svals_maxint.py&#xD;
        &#xD;
In the folder sineg open a console and run the commands&#xD;
    7. to create the data for Figures (6) and (7)&#xD;
        python3 sineg.py&#xD;
    8. to create Figures (6) and (7)&#xD;
        python3 sineg_globalerr_ranks.py&#xD;
&#xD;
&#xD;
If the reference solutions shall be recomputed, uncomment the line&#xD;
&#xD;
methods.append(...)&#xD;
&#xD;
at the beginning of the scripts fgl.py, fsr.py, lpi.py, and sineg.py, respectively.</dc:description>
   <dc:subject>dynamical low-rank approximation</dc:subject>
   <dc:subject>matrix differential equations</dc:subject>
   <dc:subject>rank-adaptivity</dc:subject>
   <dc:contributor>Hochbruck, Marlis</dc:contributor>
   <dc:contributor>Neher, Markus</dc:contributor>
   <dc:identifier>10.5445/IR/1000143199</dc:identifier>
   <dc:identifier>KITopen-DOI</dc:identifier>
   <dc:format>application/x-tar</dc:format>
</oai_dc:dc></metadata></record></GetRecord></OAI-PMH>