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Toward a Comprehensive and Efficient Robust Optimization Framework for (Bio)chemical Processes

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Figure

Figure 1.Computational demand (i.e., number of model evaluations) for different methods foruncertainty quantification with the increasing number of uncertainty parameters.
Figure 2. Illustration of the PEM for a nonlinear function y = k(ξ) that has two random inputs andtwo random outputs; adapted from [36].
Figure 3. Illustration ofconstraints are shown by blue-filled circlestwo-dimensional random space with uncertain parametersby red cross-outs soft equality constraints heq(x, u, p) = 0
Figure 4. Structure of sensitivity measures for independent (left) and correlated (right) parameters.
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