Minimization methods for non-differentiable functions
Minimization methods for non-differentiable functions
A parallel subgradient projections method for the convex feasibility problem
Journal of Computational and Applied Mathematics
Journal of Optimization Theory and Applications
Parallel application of block-iterative methods in medical imaging and radiation therapy
Mathematical Programming: Series A and B
Fractional programming by lower subdifferentiability techniques
Journal of Optimization Theory and Applications
Lower subdifferentiability of quadratic functions
Mathematical Programming: Series A and B
Parallel Optimization: Theory, Algorithms and Applications
Parallel Optimization: Theory, Algorithms and Applications
Block-Iterative Algorithms with Underrelaxed Bregman Projections
SIAM Journal on Optimization
The Constraint Consensus Method for Finding Approximately Feasible Points in Nonlinear Programs
INFORMS Journal on Computing
A subgradient method for multiobjective optimization
Computational Optimization and Applications
Hi-index | 7.29 |
We study the behavior of subgradient projections algorithms for the quasiconvex feasibility problem of finding a point x^*@?R^n that satisfies the inequalities f"1(x^*)=