orthopy
A Python library providing orthogonal polynomial classes for lines, triangles, disks, spheres, n-cubes, and nD spaces with stable recurrence schemes.
What is orthopy?
orthopy is a Python library that provides orthogonal polynomial classes for various geometric domains like lines, triangles, disks, spheres, n-cubes, and nD spaces. It solves the problem of accurately computing orthogonal polynomials using numerically stable recurrence schemes, which is essential for numerical integration, approximation, and spectral methods.
Researchers, scientists, and engineers working in numerical analysis, computational physics, finite element methods, or any field requiring orthogonal polynomial bases for approximation and integration.
Developers choose orthopy for its comprehensive coverage of polynomial families across multiple domains, numerically stable implementations, and support for both numerical and symbolic computation, all within a unified Python interface.
Overview
:triangular_ruler: Orthogonal polynomials in all shapes and sizes.
Use Cases
Best For
- Numerical integration using Gaussian quadrature rules
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