Abstract
This article reviews the use of Automatic (or Algorithmic) Differentiation (AD) in nonlinear programming problems arising from the discretization of constrained optimal control problems with ordinary differential equations. Depending on the number and type of constraints, the forward or reverse mode of AD are favoured. As an example, we consider a fast turn-around manoeuvre of an industrial robot.
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