Zero-convex functions, perturbation resilience, and subgradient projections for feasibility-seeking methods

Keyphrases

• Feasibility-seeking 100%
• Gradient Projection 100%
• Perturbation Resilience 100%
• Convex Feasibility Problem 100%
• Convex Function 100%
• Function Perturbation 100%
• Feasibility Problem 66%
• Optimization Problem 33%
• Resilient 33%
• Superiorization Methodology 33%
• Orthogonal Projection 33%
• Convexity 33%
• Subgradient 33%
• Real Hilbert Space 33%
• Constrained Optimization 33%
• Iterative Step 33%
• Class Function 33%
• Nonsmooth 33%
• Nonconvex Optimization 33%
• Weaker Conditions 33%
• Approximate Minimization 33%

Mathematics

• Subgradient Projection 100%
• Convex Function 100%
• Projection Method 66%
• Approximates 33%
• Orthogonal Projection 33%
• Subgradient 33%
• Real Hilbert Space 33%
• Constrained Optimization 33%
• Weaker Condition 33%
• Method Converges 33%