Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
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Updated
Sep 17, 2025 - Python
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
Optimal numerical differentiation of noisy time series data in python.
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Fractional differentiation as numpy function
A Symbolic Differentiator
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Finite difference matrix operators for performing numerical differentiation in python.
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Implementation of automatic differentiation (AD) in forward and backward modes with mathematical explanations
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Variational Inference with Numerical Derivatives: variance reduction through coupling
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Direct Warper implementation used in my PhD thesis (2019)
Python library for calculating formulas for derivatives.
This Python library is designed to facilitate the calculation of numerical derivatives of mathematical functions by employing advanced finite difference methods.
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