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...Numerical optimization activities adam denchfield uic alp dener anl sven leyffer juliane mueller lbnl todd munson mauro perego snl ryan vogt ncsu stefan wild is used in many applications to select parameters that minimize or maximize quantities of interest our focus develop methods for solving pde constrained problems may include state constraints discrete variables and multiple objectives sensitivity analysis using surrogate models multi objective goal solve with partial differential equation studying the tradeoffs between devise an algorithm integrates nontrivial design competing metrics when calculating optimal efficiently explore parameter space exploit mathematical structure present construct a computationally inexpensive radial basis function reduce expense improve solution quality approximation functions move beyond filling designs tradeoff use morris elementary effects method rank studies evaluations on regions satisfying approximate from most least sensitive pareto optimality ...