Probabilistic and High Order Inference, Computation, Estimation, and Simulation
Vision of Pho-Ices group
The uniqueness of Pho-Ices group is to bring together advances from stochastic programming, probability theory, parallel computing, high-order discretization methods, and mathematical analysis to conduct research on: 1) model order reduction, 2) PDE-constrained optimization, 3) high-order finite element methods, 4) parallel computing, 5) statistical inverse problems, 6) uncertainty quantification, 7) data reduction methods, and 8) machine learning.
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