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Book chapter
English

Electron paramagnetic resonance, optimization and automatic differentiation

PublisherSpringer
Publication date2002
Abstract

This chapter describes an optimization problem applied to electron paramagnetic resonance spectroscopy. Levenberg-Marquardt fails to converge using a divided differences Jacobian approximation in single precision, while it succeeds using Odyssée-generated forward mode Jacobian values. In double precision, the optimizer returns a smaller “minimum” objective function with AD compared to DD in 46% more CPU time.

Research group
Citation (ISO format)
SOULIÉ, Edgar J. et al. Electron paramagnetic resonance, optimization and automatic differentiation. In: Automatic Differentiation of Algorithms. [s.l.] : Springer, 2002. p. 99–106. doi: 10.1007/978-1-4613-0075-5_10
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