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Electron paramagnetic resonance, optimization and automatic differentiation

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Soulié, Edgar J.
Published in Automatic Differentiation of Algorithms: Springer. 2002, p. 99-106
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.
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Research group Groupe Geoffroy
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SOULIÉ, Edgar J. et al. Electron paramagnetic resonance, optimization and automatic differentiation. In: Automatic Differentiation of Algorithms. [s.l.] : Springer, 2002. p. 99-106. https://archive-ouverte.unige.ch/unige:3401

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Deposited on : 2009-09-28

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