ppapp - piecewise polynomial approximation of real functions
Code generator for piecewise Chebyshev approximation of smooth real-valued functions.
Overview
This package generates C source code containing polynomial coefficients that approximate a given function f(x) over a specified domain. The approximation uses piecewise Chebyshev polynomials with octave-based domain subdivision for optimal accuracy.
Reference: Joachim Wuttke and Alexander Kleinsorge, "Algorithm 1062: Code generation for piecewise Chebyshev approximation", ACM Transactions on Mathematical Software (2026), https://doi.org/10.1145/380569
Documentation: userManual.pdf
Metadata
Release files for ppapp 1.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ppapp-1.3.0.tar.gz | 196.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ppapp-1.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 392.8 kB
Release files / ppapp-1.3.0.tar.gz
| Download URL | ppapp-1.3.0.tar.gz |
|---|---|
| Size | 196.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.13.0
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Release files / ppapp-1.3.0-py3-none-any.whl
| Download URL | ppapp-1.3.0-py3-none-any.whl |
|---|---|
| Size | 196.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.0
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