A First-Order Primal-Dual Method for Nonconvex Constrained Optimization Based on the Augmented Lagrangian

Keyphrases

• First-order 100%
• Optimization Approach 100%
• Augmented Lagrangian Method 100%
• Primal-dual Algorithm 100%
• Nonconvex Constrained Optimization 100%
• Non-convexity 66%
• Auxiliary Problem Principle 66%
• Nonconvex Optimization 33%
• Learning Data Analytics 16%
• Nonsmooth Optimization 16%
• Optimization Model 16%
• Convergence Rate 16%
• Global Convergence 16%
• Stationary Solution 16%
• Forward-backward 16%
• Paper-based 16%
• Nonconvex Optimization Problems 16%
• Number of Iterations 16%
• Operator Splitting 16%
• Additional Error 16%
• Machine Data 16%
• Nonsmooth Optimization Problem 16%
• Machine Learning Analytics 16%
• Metric Subregularity 16%
• Learning Statistics 16%
• Kurdyka 16%
• Error Bound Condition 16%

Mathematics

• Lagrangian 100%
• Constrained Optimization 100%
• Auxiliary Problem 80%
• Nonsmooth Optimization 40%
• Error Bound 20%
• Operator Splitting 20%
• Stationary Solution 20%
• Data Analytics 20%
• Convergence Rate 20%
• Lagrangian Function 20%