Download
dmdsp is distributed under the terms of the GNU General Public License 3.0.
Matlab files
| dmdsp.zip | — | Matlab functions and problem data for dmdsp. |
Readme file
| readme.pdf | — | Description of Matlab files and problem data. |
Description of m-files
| dmdsp.m | — | an ADMM-based sparsity-promoting DMD algorithm; |
| run_dmdsp.m | — | explains how to run dmdsp; |
| snapshots_channel.m | — | generates matrix of snapshots for the channel flow example; |
| plots.m | — | plots figures shown in the paper and on this website. |
Problem data
We provide users with problem data that will allow them to reproduce our
results (these are stored in the respective .mat files in channel,
screech, and cylinder subdirectories). The channel flow example is
used to guide users through all steps required for conducting both DMD
and DMDSP, including collection of the matrices of snapshots from
numerically generated samples. In order to run snapshots_channel.m,
several files from A Matlab Differentiation Matrix Suite are provided in subdirectory
channel. For the other two examples, the matrices 
,
, and 
are provided (these are minimal requirements for
conducting DMD and DMDSP). For the screeching jet example the matrices
of snapshots 
and 
are simply too large; each snapshot
requires 256Mb of storage in double precision format. To handle such
large matrices, DMD was implemented using a MapReduce framework so that
the matrices and could be stored and processed across
several storage discs. For the cylinder bundle example the experimental
snapshots were generated by researchers at Electricite de France and we
have not acquired permission to make these publicly available.
Citation
If you are using dmdsp in your research or teaching, please include
explicit mention of this website
www.umn.edu/~mihailo/software/dmdsp/
and of our paper.
@ARTICLE{jovschnicPOF14,
AUTHOR = {M. R. Jovanovi\'c and P. J. Schmid and J. W. Nichols},
TITLE = {Sparsity-Promoting Dynamic Mode Decomposition},
JOURNAL = {Phys. Fluids},
VOLUME = {26},
NUMBER = {2},
PAGES = {024103 (22 pages)},
YEAR = {2014}
}