2 papers
math.NA2026
Rank-one Riemannian Subspace Descent for Nonlinear Matrix Equations
Yogesh Darmwal, Ketan Rajawat
We propose a rank-one Riemannian subspace descent algorithm for computing symmetric positive definite (SPD) solutions to nonlinear matrix equations arising in control theory, dynam…
stat.ML2023
Low-complexity subspace-descent over symmetric positive definite manifold
Yogesh Darmwal, Ketan Rajawat
This work puts forth low-complexity Riemannian subspace descent algorithms for the minimization of functions over the symmetric positive definite (SPD) manifold. Different from the…