Doubly exponential convergence of the cyclic steepest descent method for strictly convex quadratics in arbitrary dimensions
ScientificML
This paper studies the convergence properties of the cyclic steepest descent (CSD) method for minimizing strictly convex quadratic functions in arbitrary dimensions, proving doubly exponential convergence rates and extending prior theoretical results limited to two-dimensional cases.
See LICENSE file numerical optimizationconvex optimizationcyclic steepest descent