orthojax 0.1.5

Description:

orthojax 0.1.5

Orthojax - Orthogonal bases in Jax
This is a package for orthogonal bases in Jax. Currently, it supports:

Orthogonal polynomials (polynomial chaos) with respect to an arbitrary measure. This is achieved by reimplementing in Python some of the functions in the `orthpol`` package by Walter Gautschi. The original Fortran code can be found here.
Tensor products of orthogonal bases (product basis).

Examples

You can learn more about how the package works here.
You can find an example to uncertainty propagation here.
An example on how to use a tensor product basis can be found in examples/tensor_product.py.

Todo

Add Fourier basis.
Add documentation of API.

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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