numdifftools
Solve automatic numerical differentiation problems in one or more variables
The numdifftools library is a suite of tools written in _Python to solve automatic numerical differentiation problems in one or more variables. Finite differences are used in an adaptive manner, coupled with a Richardson extrapolation methodology to provide a maximally accurate result. The user can configure many options like; changing the order of the method or the extrapolation, even allowing the user to specify whether complex-step, central, forward or backward differences are used.
homepage ↗ pypi: numdifftools github: pbrod/numdifftools
Available in
| Overlay | Newest | Ebuilds | Last activity | |
|---|---|---|---|---|
| stuff GitHub ↗ | 0.9.42 | 1 | 2 d | details › |
| science gitweb ↗ | 0.9.42 | 2 | 4 d | details › |
Versions & arches
| Version | Overlay | amd64 | arm64 | x86 | Committed | |
|---|---|---|---|---|---|---|
| 0.9.42 | science | amd64 testing | arm64 untested | x86 untested | — | view · download · history ↗ |
| 0.9.42 ≈ | stuff | amd64 testing | arm64 testing | x86 testing | 40 d | view · download · history ↗ |
| 0.9.41 | science | amd64 testing | arm64 untested | x86 untested | — | view · download · history ↗ |
Use flags of 0.9.42
2 expansion flags (python targets, ABIs, cpu flags…)
- python_targets_python3_12
- python_targets_python3_13
Runtime dependencies of 0.9.42
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python_targets_python3_12?
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python_targets_python3_13?
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