Customized proximal point algorithms for linearly constrained convex minimization and saddle-point problems: A unified approach

Mathematics

• Convergence Rate 50%
• Convex Minimization 100%
• Convex Minimization Problem 50%
• Linear Constraint 50%
• Model Structure 50%
• Objective Function 50%
• Saddle Point 100%
• Variational Inequality 50%
• Worst Case 50%

Keyphrases

• Constrained Convex Minimization 100%
• Convergence Rate 20%
• Convex Minimization Problem 20%
• Customized Application 20%
• Global Convergence 20%
• Linear Constraints 20%
• Mixed Variational Inequality 20%
• Proximal Point Algorithm 100%
• Saddle Point Problem 100%
• Unified Approach 100%