Interior-Point

• Convex Optimization: Gradient Descent, Nesterov Acceleration, KKT Conditions, and the ML Stack · 2020-02-18

  A deep investigation of convex optimization—the engine of modern machine learning—from gradient descent and Nesterov momentum to KKT conditions and interior-point methods.

• Linear Programming: Simplex Geometry, Duality, and the Interior-Point Revolution · 2019-04-19

  An exploration of linear programming from Dantzig's simplex method through von Neumann's duality to Karmarkar's interior-point breakthrough that reshaped optimization theory.