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Global Sensitivity Analysis for Optimization with Variable Selection

Global Sensitivity Analysis for Optimization with Variable Selection

The optimization of high dimensional functions is a key issue in engineering problems but it frequently comes at a cost that is not acceptable since it usually involves a complex and expensive computer code. Engineers often overcome this limitation by first identifying which parameters drive the function variations the most: …