Abstract: Automatic differentiation is a technique for computing derivatives accurately and efficiently with minimal human effort. The calculation of derivatives of numerical models is necessary for gradient-based optimization of ...

Abstract: An optimization model for selecting and sizing potential reservoir and hydropower plant sites on river basins is presented. The model improves on the work of Lall and Miller by replacing the modified sequent peak algorithm ...

Abstract: Derivatives are a crucial ingredient to a broad variety of computational techniques in science and engineering. While numerical approaches for evaluating derivatives suffer from truncation error, ...