SmolPack
Multidimensional Quadrature Using Sparse Grids for Python
smolpack is a high-performance Python library for numerical integration
(cubature) over the unit hypercube [0,1]^d using
Smolyak's algorithm with
Clenshaw-Curtis quadrature rules. It approximates integrals of the form:
$$I[f] = \int_{[0,1]^d} f(\mathbf{x}),d\mathbf{x}$$
Two solvers are provided: a delayed Clenshaw-Curtis variant (fewer evaluations) and a standard Clenshaw-Curtis variant (classical rule).
Quick example
import numpy as np
import smolpack
def my_func(dim, x):
return np.exp(np.sum(x))
result = smolpack.int_smolyak(my_func, dim=3, qq=5)
Installation
pip install smolpack
Requires Python 3.10+ and NumPy. See the full installation guide for uv, poetry, and source builds.
Documentation
- Theory — sparse grids, Smolyak construction, Clenshaw-Curtis rules
- Quickstart — runnable examples
- API Reference — solver signatures and parameters
- References — literature citations
Attribution
The original C library SMOLPACK was written by Knut Petras and is distributed via John Burkardt's page.
License
LGPL-2.1 — see LICENSE.
1 maintainer
Release files for smolpack 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 2.7 MB
Release files / smolpack-0.1.4-cp315-cp315t-win_amd64.whl
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