Akiko Takeda

Randomized Subspace Gradient Method for Constrained Optimization

We propose randomized subspace gradient methods for high-dimensional constrained optimization. Whereas there are related studies on unconstrained optimization problems, there are relatively few for constrained optimization problems because of the difficulty of handling constraint...