Use readme as module doc

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Jan Petykiewicz 2019-11-24 22:46:47 -08:00
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commit 3b57619c2f

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"""
Electromagnetic simulation tools
This package is intended for building simulation inputs, analyzing
simulation outputs, and running short simulations on unspecialized hardware.
It is designed to provide tooling and a baseline for other, high-performance
purpose- and hardware-specific solvers.
**Contents**
- Finite difference frequency domain (FDFD)
* Library of sparse matrices for representing the electromagnetic wave
equation in 3D, as well as auxiliary matrices for conversion between fields
* Waveguide mode operators
* Waveguide mode eigensolver
* Stretched-coordinate PML boundaries (SCPML)
* Functional versions of most operators
* Anisotropic media (limited to diagonal elements eps_xx, eps_yy, eps_zz, mu_xx, ...)
* Arbitrary distributions of perfect electric and magnetic conductors (PEC / PMC)
- Finite difference time domain (FDTD)
* Basic Maxwell time-steps
* Poynting vector and energy calculation
* Convolutional PMLs
This package does *not* provide a fast matrix solver, though by default
```meanas.fdfd.solvers.generic(...)``` will call
```scipy.sparse.linalg.qmr(...)``` to perform a solve.
For 2D FDFD problems this should be fine; likewise, the waveguide mode
solver uses scipy's eigenvalue solver, with reasonable results.
For solving large (or 3D) FDFD problems, I recommend a GPU-based iterative
solver, such as [opencl_fdfd](https://mpxd.net/code/jan/opencl_fdfd) or
those included in [MAGMA](http://icl.cs.utk.edu/magma/index.html)). Your
solver will need the ability to solve complex symmetric (non-Hermitian)
linear systems, ideally with double precision.
Dependencies:
- numpy
- scipy
See the readme or `import meanas; help(meanas)` for more info.
"""
import pathlib
@ -50,3 +13,7 @@ __author__ = 'Jan Petykiewicz'
with open(pathlib.Path(__file__).parent / 'VERSION', 'r') as f:
__version__ = f.read().strip()
with open(pathlib.Path(__file__).parent.parent / 'README.md', 'r') as f:
__doc__ = f.read()