Algorithms for Model Calibration of Ground Water Simulators
Final rept. 16 Sep 2011-15 Sep 2014
NORTH CAROLINA STATE UNIV AT RALEIGH
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The PI and his students design, analyze, and implement novel algorithms for model calibration including method for noisy and ill-conditioned nonlinear least squares problems, reduced order models such as POD and sparse interpolation, and methods based on Bayesian analysis which are part of uncertainty quantification. We also work on simulation methods such as flow in the vadose zone, non-Darcy flow models, linear and nonlinear solvers, pseudo-transient continuation, and preconditioning.
- Hydrology, Limnology and Potamology
- Statistics and Probability
- Test Facilities, Equipment and Methods