Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning

Keyphrases

• Optimization Approach 100%
• Algebraic multigrid 100%
• Reinforcement Learning 100%
• Multigrid Solver 100%
• System of Linear Equations 66%
• Interpolation Operator 66%
• Algebraic multigrid Method 66%
• Restriction Operator 66%
• Graph Coarsening 66%
• Linear Time Complexity 33%
• Existing Algorithms 33%
• Selection Strategy 33%
• Agent-based 33%
• Linear Systems 33%
• Inference Methods 33%
• Mathematical Theory 33%
• Planar Graph 33%
• Complementarity Problem 33%
• Efficient Inference 33%
• Reinforcement Learning Agent 33%
• Node Degree 33%
• Large Sparse Linear Systems 33%
• Approximation of Partial Differential Equations 33%
• Graph Neural Network 33%
• Graph Selection 33%

Mathematics

• Multigrid Method 100%
• Systems of Linear Equation 50%
• Discretization 50%
• Linear System 50%
• Partial Differential Equation 50%
• Neural Network 50%
• Linear Time 50%
• Equation System 50%
• Inference Procedure 50%
• Sparse Linear Systems 50%
• Mathematical Theory 50%
• Interpolation Operator 50%
• Planar Graph 50%