Pieces of code for the experiments described in the manuscript "Optimizing Variational Physics-Informed Neural Networks Using Least Squares", available at https://arxiv.org/pdf/2407.20417.
Multivariate Regression and Classification Using a Feed-Forward Neural Network and Gradient Descent Optimization.
Multivariate Linear and Logistic Regression Using Gradient Descent Optimization.
Python code for visualizing Gradient Descent optimization paths with animated contours. Demonstrates two strategies: fixed and optimal step sizes. Includes Fibonacci search for step size and data saved with Pickle.
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