smolyak: A Python toolkit for the acceleration of scientific computations
- Author:
Soeren Wolfers <soeren.wolfers@gmail.com>
- Organization:
King Abdullah University of Science and Technology (KAUST)
This Python package provides tools for the non-intrusive acceleration of scientific computations using Smolyak’s algorithm.
As special cases, it includes integration and interpolation on sparse grids, as well as multilevel and multi-index algorithms. for stochastic collocation.
For an overview, check out
Tempone R., Wolfers S. (2017). Smolyak’s algorithm: A powerful black box for the acceleration of scientific computations.
1 maintainer
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1 maintainer
Release files for smolyak 2.6.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| smolyak-2.6.7.tar.gz | 29.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| smolyak-2.6.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 77.7 kB
Release files / smolyak-2.6.7.tar.gz
| Download URL | smolyak-2.6.7.tar.gz |
|---|---|
| Size | 29.8 kB |
| Tags | Source |
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Release files / smolyak-2.6.7-py3-none-any.whl
| Download URL | smolyak-2.6.7-py3-none-any.whl |
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| Size | 47.8 kB |
| Tags | Python 3 |
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