Metadata-Version: 2.1
Name: krylov
Version: 0.0.1
Summary: Krylov subspace methods for Python
Home-page: https://github.com/nschloe/krylov
Author: André Gaul, Nico Schlömer
Author-email: nico.schloemer@gmail.com
License: MIT
Project-URL: Code, https://github.com/nschloe/krylov
Project-URL: Issues, https://github.com/nschloe/krylov/issues
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Utilities
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: importlib-metadata ; python_version < "3.8"

<p align="center">
  <a href="https://github.com/nschloe/krylov"><img alt="krylov" src="https://nschloe.github.io/krylov/logo.svg" width="60%"></a>
  <p align="center">Krylov subspace methods.</p>
</p>

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Forked from André Gaul's [KryPy](https://github.com/andrenarchy/krypy), _krylov_
provides Krylov subspace methods for Python. It is more advanced than [SciPy's linalg
methods](https://docs.scipy.org/doc/scipy/reference/sparse.linalg.html) in that it
provides for arbitrary inner products and is fully blocked/vectorized. _krylov_ is
written completely in Python.

Install with
```
pip install krylov
```
and use as
```python
import numpy
import krylov

A = numpy.diag([1.0e-3] + list(range(2, 101)))
b = numpy.ones(100)

# sol, info = krylov.cg(A, b)
# sol, info = krylov.minres(A, b)
sol, info = krylov.gmres(A, b)

# sol is None if no solution has been found
# onfo.resnorms contains the relative residual norms and some more data

# plot residuals
import matplotlib.pyplot as plt
plt.semilogy(info.resnorms)
plt.show()
```

### Testing

To run the krylov unit tests, check out this repository and type
```
pytest
```

### License

krylov is published under the [MIT license](https://en.wikipedia.org/wiki/MIT_License).


