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Imaging Convection and Magnetism in the Sun pp 47–73Cite as

Adjoint Optimization

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Abstract

The adjoint method has a long history (Lions 1971) and is widely used in fluid control, airfoil optimization, meteorology, global helioseismology, and terrestrial seismology. Real-world optimization problems are typically functions of large numbers of parameters, ill posed, and computationally expensive. For instance, one may envisage the difficulty in minimizing drag due to flow over an airfoil or seeking a model of Earth’s interior that optimally fits observed seismograms, simply due to large number of ways one may alter the system. What parameters should one vary in order to achieve optimality?

‡ Material in this section is taken primarily from Hanasoge et al (2011) and Hanasoge et al (2012a).

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Authors and Affiliations

  1. Department of Astronomy and Astrophysics, Tata Institute of Fundamental Research, Mumbai, India

    Shravan Hanasoge

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  1. Shravan Hanasoge
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Hanasoge, S. (2015). Adjoint Optimization. In: Imaging Convection and Magnetism in the Sun. SpringerBriefs in Mathematics. Springer, Cham. https://doi.org/10.1007/978-3-319-27330-3_3

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