Abstract
In many applications of numerical and scientific computing, it is necessary to compute derivatives of functions. Simple examples are methods for finding the zeros, maxima, or minima of nonlinear functions. There are three different methods to get the values of the derivatives: numerical differentiation, symbolic differentiation, and automatic differentiation.
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© 1995 Springer-Verlag Berlin Heidelberg
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Kulisch, U., Hammer, R., Hocks, M., Ratz, D. (1995). Automatic Differentiation. In: C++ Toolbox for Verified Computing I. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-79651-7_5
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DOI: https://doi.org/10.1007/978-3-642-79651-7_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-79653-1
Online ISBN: 978-3-642-79651-7
eBook Packages: Springer Book Archive