An adaptive Gaussian mixture model approach based framework for solving fokker-planck kolmogorov equation related to high dimensional dynamical systems

Keyphrases

• High-dimensional Dynamical Systems 100%
• Fokker-Planck-Kolmogorov (FPK) Equation 100%
• Stochastic Differential Equations 40%
• System of Equations 40%
• State Vector 40%
• Clustering Methods 40%
• State Function 40%
• Computational Framework 20%
• Finite number 20%
• Linearization 20%
• Exact Solutions 20%
• Probability Density Function 20%
• Approximate Solution 20%
• Random Process 20%
• Numerical Simulation Test 20%
• Additive Noise 20%
• Solution Method 20%
• Linearization Techniques 20%
• High-dimensional Systems 20%
• Modeling Methodology 20%
• Non-Gaussian Probability Density Function 20%
• Engineering Systems 20%
• Low Dimension 20%
• Systems of Stochastic Differential Equations 20%

Mathematics

• Dimensional Dynamical System 100%
• Gaussian Mixture Model 100%
• Stochastic Differential Equation 60%
• Equation System 40%
• Finite Number 20%
• Probability Density Function 20%
• Additive Noise 20%
• Time Evolution 20%
• Approximate Solution 20%
• Dimensional System 20%
• Random Process 20%
• Evolution Equation 20%
• Gaussian Probability Density Function 20%
• Stochastic Calculus 20%

Engineering

• Gaussian Mixture Model 100%
• Fokker 100%
• Stochastic Differential 60%
• Equation System 40%
• Probability Density Function 40%
• Gaussians 20%
• Finite Number 20%
• Solution Method 20%
• Random Process 20%
• Dimensional System 20%
• Additive Noise 20%
• Approximate Solution 20%
• Systems Engineering 20%