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Numerical experiments to "Rank-adaptive dynamical low-rank integrators for first-order and second-order matrix differential equations"

Schrammer, Stefan ORCID iD icon; Hochbruck, Marlis [Beteiligte*r]; Neher, Markus [Beteiligte*r]


Zugehörige Institution(en) am KIT Institut für Angewandte und Numerische Mathematik (IANM)
Sonderforschungsbereich 1173 (SFB 1173)
Publikationstyp Forschungsdaten
Publikationsdatum 24.02.2022
Erstellungsdatum 21.02.2022
Identifikator DOI: 10.5445/IR/1000143199
KITopen-ID: 1000143199
Lizenz Creative Commons Namensnennung – Nicht kommerziell – Weitergabe unter gleichen Bedingungen 4.0 International
Projektinformation SFB 1173/2 (DFG, DFG KOORD, SFB 1173/2 2019)
Schlagwörter dynamical low-rank approximation, matrix differential equations, rank-adaptivity
Liesmich

Instructions:

The scripts inside the subfolders are intended to reproduce the figures from the
preprint
> Rank-adaptive dynamical low-rank integrators for
first-order and second-order matrix differential equations

by Marlis Hochbruck, Markus Neher, and Stefan Schrammer

Requirements

The codes are tested with

Ubuntu 20.04.2 LTS and Python 3.8.5 and the following version of its modules:

    numpy       1.19.2
    scipy       1.5.2
    numba       0.51.2
    colorama    0.4.4
    h5py        2.10.0
    matplotlib  3.3.2
    tikzplotlib 0.9.6

Generation of figures (tikz files containing the data are also created)

In the folder fracginz open a console and run the commands

  1. to create the data for Figures (1) and (2)
    python3 fgl.py
  2. to create Figures (1) and (2)
    python3 fgl_results.py

In the folder fracschr open a console and run the commands

  1. to create the data for Figure (3)
    python3 fsr.py
  2. to create Figure (3)
    python3 fsr_results.py

In the folder laserplasma open a console and run the commands

  1. to create the data for Figures (4) and (5)
    python3 lpi.py
  2. to create Figures (4) and (5)
    python3 lpi_globalerr.py
    python3 lpi_svals_maxint.py

In the folder sineg open a console and run the commands

  1. to create the data for Figures (6) and (7)
    python3 sineg.py
  2. to create Figures (6) and (7)
    python3 sineg_globalerr_ranks.py

If the reference solutions shall be recomputed, uncomment the line

methods.append(...)

at the beginning of the scripts fgl.py, fsr.py, lpi.py, and sineg.py, respectively.

Art der Forschungsdaten Dataset
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