Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.

With Uno, finally take full control of your SQP/barrier solver for nonlinearly constrained optimization

The project involves projective geometry, geometric transformations, modelling of cameras, feature extraction, stereo vision, recognition and deep learning, 3d-modelling, geometry of surfaces and their silhouettes, tracking, and visualisation.

Art of finding minimum. Python implementations from scratch.

Browser-based ML-DSA leakage demo — watch a toy hill-climb descend to a CRYSTALS-Dilithium (FIPS 204) secret subkey once one bit of per-signature masking randomness leaks, no lattice reduction, beside the real-scale numbers from IACR ePrint 2026/472. Real local-optimization dynamics. No backends. No simulated math. Runs no attack on real ML-DSA.