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Dakota Reference Manual
Version 6.15
Explore and Predict with Confidence
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Uses a nonlinear interior point method for underlying optimization
Alias: none
Argument(s): none
Many uncertainty quantification methods solve a constrained optimization problem under the hood. The nip
keyword directs Dakota to use a nonlinear interior point to solve that problem. A nonlinear interior point method traverses the interior of the feasible region to arrive at the solution to the optimization problem.