Convergence rate analysis and error bounds for projection algorithms in convex feasibility problems.
Amir BeckMarc TeboullePublished in: Optim. Methods Softw. (2003)
Keyphrases
- convergence rate
- error bounds
- theoretical analysis
- step size
- optimization problems
- convergence speed
- global convergence
- quadratic optimization problems
- combinatorial optimization
- worst case
- benchmark problems
- test problems
- gradient method
- convex optimization problems
- significant improvement
- computational complexity
- computationally efficient
- multi objective
- objective function
- learning algorithm