Optimization on manifolds: applied Riemannian geometry
Riemannian geometry, a pioneering branch of differential geometry, provides a powerful framework for extending classical optimization methods beyond Euclidean spaces. At a time when big data is becoming increasingly complex, modeling on nonlinear structures such as manifolds offers mathematical tools suited to capturing this inherent complexity. Optimization on manifolds has thus emerged as a field … Read more