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The proceedings characterize the state of data in the world of algorithmic differentiation (AD). The 31 contributed papers introduced on the AD2012 convention cowl the appliance of AD to many areas in science and engineering in addition to points of AD concept and its implementation in tools. For all papers the referees, chosen from this system committee and the larger group, in addition to the editors have emphasised accessibility of the introduced concepts additionally to non-AD specialists. Within the AD tools area new implementations are launched overlaying, for instance, Java and graphical modeling environments or be a part of the set of present tools for Fortran. New developments in AD algorithms goal the effectivity of matrix-operation derivatives, detection and exploitation of sparsity, partial separability, the remedy of nonsmooth features, and different high-degree mathematical features of the numerical computations to be differentiated. Purposes stem from the Earth sciences, nuclear engineering, fluid dynamics, and chemistry, to call just some. In lots of instances the purposes in a given space of science or engineering share traits that require particular approaches to allow AD capabilities or present a chance for effectivity positive factors in the by-product computation. The outline of those traits and of the methods for efficiently utilizing AD ought to make the proceedings a invaluable supply of data for customers of AD tools.
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