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Comparative analysis of optimization methods for magnetostatics

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1 Author(s)
A. Gottvald ; Inst. of Sci. Instrum., Czechoslovak Acad. of Sci., Brno, Czechoslovakia

A comparative analysis of the zeroth, first, and (pseudo) second-order optimization methods for n-parametric optimization of magnet systems is reported. The following families of optimization methods are compared: Monte-Carlo iteration, steepest descent, conjugate gradient, and quasi-Newton (DFP, BFGS). These methods were tested for a large class of magnetostatic optimization problems (global, nonlinear, nonconvex, constrained, discontinuous), associated, e.g. with the coil magnet design for NMR imaging and NMR spectroscopy

Published in:

IEEE Transactions on Magnetics  (Volume:24 ,  Issue: 1 )