Explore the foundations of scientific computing with this collection of Jupyter notebooks on numerical methods. This repository covers key topics—from solving linear/nonlinear systems to polynomial interpolation and numerical differentiation—with from-scratch Python implementations.
interpolation linear-algebra root-finding gaussian-elimination newtons-method hermite-interpolation richardson-extrapolation lagrange-interpolation bisection-method
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Updated
Sep 20, 2025 - Jupyter Notebook