Solve integration and differentiation using numerical methods
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Updated
Jan 7, 2022 - Python
Solve integration and differentiation using numerical methods
IIT Bombay Course CH481: Chemistry and Computers
Calculates the mass of an electron from the spectral lines of Hydrogen
Numerical derivation according to the Neville method
Methods for numerical differentiation of noisy data in python
Numerical differentiation leveraging convolutions based on PyTorch
2020 Spring NCTU Computational Physics
My python implementation of different Computational Methods and Applications.
Finite difference matrix operators for performing numerical differentiation in python.
Numerical analysis algorithms
Implementation of Numerical Analysis algorithms/methods in Python
Physically-informed model discovery of systems with nonlinear, rational terms using the SINDy-PI method. Contains functionality for spectral filtering/differentiation.
A repository containing python codes for the numerical methods I studied in Numerical Analysis course during Spring 2022 semester
Numerical analysis methods implemented in Python.
Optimal numerical differentiation of noisy time series data in python.
optimagic is a Python package for numerical optimization. It is a unified interface to optimizers from SciPy, NlOpt and other packages. optimagic's minimize function works just like SciPy's, so you don't have to adjust your code. You simply get more optimizers for free. On top you get diagnostic tools, parallel numerical derivatives and more.
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