The study of Lagrangian equations and gradient estimates occupies a critical niche at the intersection of partial differential equations, differential geometry, and variational calculus. Lagrangian ...

Implement gradient descent optimization from scratch to fit a linear model to synthetic data, demonstrating understanding of calculus-based optimization and responsible AI integration. Hypothesis: h(x ...