Addressing state space multicollinearity in solving an ozone pollution dynamic control problem

Mathematics

• Approximate Dynamic Programming 85%
• Stochastic Dynamic Programming 83%
• Ozone 79%
• Multicollinearity 66%
• Pollution 66%
• Dynamic Problem 58%
• Control Problem 44%
• State Space 44%
• Empirical Model 37%
• Air Quality 21%
• Nitrogen 19%
• Oxides 18%
• Dimensionality Reduction 16%
• Formulation 16%
• Computer Experiments 16%
• Statistical Modeling 15%
• Function Approximation 15%
• Value Function 12%
• Numerical Solution 9%
• Design 8%
• Demonstrate 7%
• Model 4%

Business & Economics

• Ozone Pollution 100%
• Approximate Dynamic Programming 77%
• Multicollinearity 67%
• Stochastic Dynamic Programming 66%
• State Space 57%
• Ozone 56%
• Empirical Model 26%
• Dynamic Programming Application 25%
• Nitrogen Oxides 20%
• Dimensionality Reduction 20%
• Computer Experiments 19%
• Air Quality 16%
• Numerical Solution 16%
• Value Function 13%
• Generalizability 13%
• Lessons Learned 12%
• Approximation 10%
• Modeling 7%

Engineering & Materials Science

• Ozone 65%
• Dynamic programming 51%
• Pollution 48%
• Nitrogen oxides 7%
• Air quality 7%
• Dimensionality reduction 7%
• Experiments 2%