PyNosh
PyNosh is a solver package for nonlinear Schrödinger equations. It contains the respective model evaluators along with an implementation of Newton’s method and optional preconditioner for its linearization.
PyNosh uses KryPy for the solution of linear equation systems and employs its deflation capabilities. The package VoroPy is used to construct the finite-volume discrezation.
Usage
Documentation
The documentation is hosted at pynosh.readthedocs.org.
Example
Absolute value and complex argument of a solution of the Ginzburg-Landau equations, a particular instance of nonlinear Schrödinger equations. The number of nodes in the discretization is 72166 for this example.
Development
PyNosh is currently maintained by Nico Schlömer. Feel free to contact Nico. Please submit feature requests and bugs as GitHub issues.
PyNosh is developed with continuous integration. Current status:
License
PyNosh is free software licensed under the GPL3 License.
References
PyNosh was used to conduct the numerical experiments in the paper
Metadata
Release files for pynosh 0.2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pynosh-0.2.2.tar.gz | 14.6 kB | Without provenance | Details for pynosh-0.2.2.tar.gz |
Release files / pynosh-0.2.2.tar.gz
| Download URL | pynosh-0.2.2.tar.gz |
|---|---|
| Size | 14.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9562081aaedffeb97aa6f1b26e386f59834b6b6c105526790b69f661b4fadf43
|
|
BLAKE2b-256 checksum How to use checksums |
ed0c7dfd758e2ee71371d4bb09cad1c9fc1a3cf90c3a5cb7545f4603546c8231
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for pynosh 0.2.2
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.