Gaussian markov random fields for discrete optimization via simulation: Framework and algorithms

INIS

• algorithms 100%
• optimization 60%
• randomness 60%
• simulation 40%
• performance 40%
• solutions 40%
• values 40%
• stochastic processes 40%
• markov process 40%
• balances 20%
• dynamics 20%
• modeling 20%
• matrices 20%
• precision 20%
• calculation methods 20%
• exploration 20%
• convergence 20%
• exploitation 20%
• budgets 20%
• asymptotic solutions 20%

Computer Science

• Algorithms 100%
• Markov Random Fields 40%
• Decision Variable 40%
• Computation 20%
• Convergence 20%
• Spatial Relationship 20%
• Objective Function 20%
• Stochastic Simulation 20%
• Asymptotics 20%
• Stochastic Optimization 20%
• Continuous Domain 20%
• Precision Matrix 20%
• Discrete Optimization 20%
• Feasible Solution 20%
• Performance Measure 20%
• Neighborhood Structure 20%
• Function Value 20%
• Execution Model 20%
• Time Performance 20%
• Modeling 20%
• Simulation 20%