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A Direct Method for Parabolic PDE Constrained Optimization ProblemsAutomatic derivative generation

A Direct Method for Parabolic PDE Constrained Optimization Problems: Automatic derivative generation [The inexact SQP method which we describe in Chapter 5 requires first and second order derivatives of the problem functions. There are several ways how derivatives can be provided. The first is to have them provided along with the problemdependent model functions by the user. This can be cumbersome for the user and it is impossible for the program to check whether the derivatives are free of errors, even though consistency tests evaluated in a few points can somewhat mitigate the problem. These are, however, severe drawbacks.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Direct Method for Parabolic PDE Constrained Optimization ProblemsAutomatic derivative generation

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Publisher
Springer Fachmedien Wiesbaden
Copyright
© Springer Fachmedien Wiesbaden 2014
ISBN
978-3-658-04475-6
Pages
145 –151
DOI
10.1007/978-3-658-04476-3_10
Publisher site
See Chapter on Publisher Site

Abstract

[The inexact SQP method which we describe in Chapter 5 requires first and second order derivatives of the problem functions. There are several ways how derivatives can be provided. The first is to have them provided along with the problemdependent model functions by the user. This can be cumbersome for the user and it is impossible for the program to check whether the derivatives are free of errors, even though consistency tests evaluated in a few points can somewhat mitigate the problem. These are, however, severe drawbacks.]

Published: Nov 30, 2013

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