A nonmonotone line search technique for Newton's method
SIAM Journal on Numerical Analysis
An assessment of nonmonotone linesearch techniques for unconstrained optimization
SIAM Journal on Scientific Computing
The Geometry of Algorithms with Orthogonality Constraints
SIAM Journal on Matrix Analysis and Applications
The Procrustes Problem for Orthogonal Stiefel Matrices
SIAM Journal on Scientific Computing
On the nonmonotone line search
Journal of Optimization Theory and Applications
Global convergence of nonmonotone descent methods for unconstrained optimization problems
Journal of Computational and Applied Mathematics - Special issue: Papers presented at the 1st Sino--Japan optimization meeting, 26-28 October 2000, Hong Kong, China
Recursive Calculation of Dominant Singular Subspaces
SIAM Journal on Matrix Analysis and Applications
A Nonmonotone Line Search Technique and Its Application to Unconstrained Optimization
SIAM Journal on Optimization
Journal of Computational and Applied Mathematics
Optimization Algorithms on Matrix Manifolds
Optimization Algorithms on Matrix Manifolds
Hi-index | 7.29 |
A nonmonotone Levenberg-Marquardt-based algorithm is proposed for minimization problems on closed domains. By preserving the feasible set's geometry throughout the process, the method generates a feasible sequence converging to a stationary point independently of the initial guess. As an application, a specific algorithm is derived for minimization on Stiefel manifolds and numerical results involving a weighted orthogonal Procrustes problem are reported.