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Combined Optimization Algorithm and its Applications in Metrology

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Measurement Techniques Aims and scope

A combined optimization algorithm analogous to the method of steepest descent (not in one-dimensional spaces, but in subspaces with different dimensionalities) and the method of gradient search is proposed. The choice of subspaces in which the descent is made is determined by the absolute values of the coordinates of the gradient at the regular iteration points.

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References

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Authors and Affiliations

  1. Volgodonsk Engineering Technical Institute, Branch of the National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Volgodonsk, Russia

    Yu. S. Sysoev

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  1. Yu. S. Sysoev
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Correspondence to Yu. S. Sysoev.

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Translated from Izmeritel'naya Tekhnika, No. 4, pp. 9–12, April, 2015.

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Sysoev, Y.S. Combined Optimization Algorithm and its Applications in Metrology. Meas Tech 58, 376–380 (2015). https://doi.org/10.1007/s11018-015-0720-4

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  • DOI: https://doi.org/10.1007/s11018-015-0720-4

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