A collection of spectral collocation differentiation matrices
This collection is based on their original matlab/octave version developed by Weidemann and Reddy and available from DMSUITE. The theory and examples are explained in their paper: J. A. C. Weidemann and S. C. Reddy, A MATLAB Differentiation Matrix Suite, ACM Transactions on Mathematical Software, 26, (2000): 465-519.
The port to python was initiated as part of a larger project by ronojoy as https://github.com/ronojoy/pyddx.git
It is available on PyPI. You can install and update dmsuite with the following command:
python3 -m pip install --user -U dmsuite
Release files for dmsuite 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dmsuite-0.3.0.tar.gz | 31.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dmsuite-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 56.6 kB
Release files / dmsuite-0.3.0.tar.gz
| Download URL | dmsuite-0.3.0.tar.gz |
|---|---|
| Size | 31.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.10.9
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Release files / dmsuite-0.3.0-py3-none-any.whl
| Download URL | dmsuite-0.3.0-py3-none-any.whl |
|---|---|
| Size | 25.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.9
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