Abstract
Standard methods for minimizing a real-valued function of several variables can be divided into two general classes: those that require second derivative information, usually referred to as Newton-type methods, and those requiring only first derivative information, referred to as gradient methods. There are several excellent texts which, in addition to discussing many of these methods in detail, also give suggestions on when to use certain techniques.
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Notes
- 1.
We are considering only ‘electric-electric’ interactions in this chapter. We assume that all hosts and flaws are nonmagnetic.
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Sabbagh, H.A., Kim Murphy, R., Sabbagh, E.H., Zhou, L., Wincheski, R. (2021). A Bilinear Conjugate-Gradient Inversion Algorithm. In: Advanced Electromagnetic Models for Materials Characterization and Nondestructive Evaluation. Scientific Computation. Springer, Cham. https://doi.org/10.1007/978-3-030-67956-9_1
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