Skip to main content

Core BEM namespace package and solver-facing compatibility helpers.

Project description

mnpbem-bem

Publish mnpbem-bem PyPI status

mnpbem-bem implements a minimal linear-response solve interface for complex frequency-domain systems. Release metadata is generated from this README to keep publication notes aligned with the implemented solver model.

Implemented Formulation

The solver computes:

$$ \mathbf{A}\mathbf{x}=\mathbf{b} $$

using complex-valued linear algebra (numpy.linalg.solve).

Implementation

  • Solver: src/mnpbem_bem/solver.py

Dependencies

  • numpy>=1.24

Installation

PyPI publication for mnpbem-bem is pending first release.

Track publication status:

Install from repository source:

pip install git+https://github.com/galihru/mnpbem.git#subdirectory=mnpbem-bem

Example

Runnable example:

  • examples/basic_usage.py

Run:

python examples/basic_usage.py

Author

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mnpbem_bem-0.1.0.tar.gz (2.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mnpbem_bem-0.1.0-py3-none-any.whl (2.7 kB view details)

Uploaded Python 3

File details

Details for the file mnpbem_bem-0.1.0.tar.gz.

File metadata

  • Download URL: mnpbem_bem-0.1.0.tar.gz
  • Upload date:
  • Size: 2.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.10

File hashes

Hashes for mnpbem_bem-0.1.0.tar.gz
Algorithm Hash digest
SHA256 8fc19b9a41ca6e679311fd603f89b95427c837f8d8259c1b0d56d14dbb9a15c8
MD5 6a946db6535250cd653bc5b403e426b5
BLAKE2b-256 ba41679996331449e82646162ded9c660af646ea8c5e324fd22083f2bcd36558

See more details on using hashes here.

File details

Details for the file mnpbem_bem-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: mnpbem_bem-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 2.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.10

File hashes

Hashes for mnpbem_bem-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 73e145e9816cfcb0f427c1c16652f8d1b2290d3ca71099382bd0a268af290f73
MD5 f2505cc7ad0fb7b3b400317602a00e85
BLAKE2b-256 773303f055d8369fd157e226538d813681a008a18ce4759f6a490efde587a158

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page