Metadata-Version: 2.4
Name: mnpbem-demo
Version: 0.1.7
Summary: Reproducible demonstration scaffolding for MNPBEM Python modules.
Author-email: GALIH RIDHO UTOMO <g4lihru@students.unnes.ac.id>
License-Expression: GPL-2.0-only
Project-URL: Homepage, https://pypi.org/project/mnpbem-demo/
Project-URL: Repository, https://github.com/galihru/mnpbem/tree/main/mnpbem-demo
Project-URL: Source, https://github.com/galihru/mnpbem
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering :: Physics
Requires-Python: >=3.10
Description-Content-Type: text/markdown
Requires-Dist: numpy>=1.24

# mnpbem-demo

`mnpbem-demo` provides reproducible spectral grids for controlled numerical experiments.

## Implemented Formulation
For start wavelength `lambda_start`, stop wavelength `lambda_stop`, and sample count `N`:

![Equation](https://latex.codecogs.com/svg.image?%5Cdpi%7B150%7D%20%5Clambda_i%20%3D%20%5Clambda_0%20%2B%20i%5C%2C%5CDelta%5Clambda%2C%5Cqquad%20%5CDelta%5Clambda%3D%5Cfrac%7B%5Clambda_1-%5Clambda_0%7D%7BN-1%7D)

## Implementation
- Demo grid generator: `src/mnpbem_demo/cases.py`

## Dependencies
- `numpy>=1.24`

## Installation
```bash
pip install mnpbem-demo
```

## Example
Runnable example:
- `examples/basic_usage.py`

Run:
```bash
python examples/basic_usage.py
```

## Author
- GALIH RIDHO UTOMO
- g4lihru@students.unnes.ac.id
