A fast and scalable method for A-optimal design of experiments for infinite-dimensional Bayesian nonlinear inverse problems

Mathematics

• A-optimal Design 100%
• Optimal Experimental Design 92%
• Nonlinear Inverse Problems 85%
• Sensor 59%
• Experiment 48%
• Partial differential equation 23%
• Objective function 21%
• Covariance Operator 17%
• Gaussian Approximation 16%
• Maximum a Posteriori 16%
• Trace 15%
• Expected Value 13%
• Experimental Data 13%
• Configuration 10%
• Gradient 9%
• Adjoint Method 9%
• Porous Media Flow 9%
• Numerical Results 8%
• Quasi-Newton 8%
• Design Method 8%
• Newton Iteration 7%
• Permeability 7%
• Placement 7%
• Penalty Function 6%
• Elliptic Partial Differential Equations 6%
• Sparsity 6%
• Systems of Partial Differential Equations 6%
• Likely 6%
• Averaging 6%
• Variational Methods 6%
• Invariance 5%
• Uncertainty 5%
• Inverse Problem 5%
• Minimise 5%

Engineering & Materials Science

• Inverse problems 69%
• Design of experiments 59%
• Partial differential equations 44%
• Sensors 26%
• Mathematical operators 11%
• Invariance 6%
• Porous materials 6%