Numerical methods implementation in Python.
Lightweight performant Python 3.12+ automatic differentiation system that leverages PyTorch’s computational graph to compute arbitrary-order partial derivatives.
This project investigates Taylor series approximations for fundamental functions—sin, cos, tan, exp, ln, sqrt—analyzing accuracy, convergence, and numerical behavior across ranges. It demonstrates how classical functions can be efficiently approximated using series expansions.
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