This project explores finding minima of one-dimensional functions using gradient descent. It includes experiments with different learning rates and starting points, visualizations of convergence paths, and an extension using random restarts to approximate global minima.
visualization python optimization homework gradient-descent numerical-methods random-restart one-dimensional-functions
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Updated
Sep 26, 2025 - Jupyter Notebook