Convergence Analysis of Transformed Gradient Projection Algorithms on Compact Matrix Manifolds

The authors propose a novel algorithmic framework called the Transformed Gradient Projection (TGP) algorithm to address optimization problems on compact matrix manifolds, utilizing projection onto the manifold. The TGP algorithm framework encompasses classical gradient projection algorithms as special cases and intersects with retraction-based line-search algorithms.