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Comparative Analysis of the Search Procedures for Surface Acoustic Wave Solutions in Piezoelectric Crystals.

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Title: Comparative Analysis of the Search Procedures for Surface Acoustic Wave Solutions in Piezoelectric Crystals.
Authors: Dvoesherstov, M. Yu., Savin, V. A., Cherednik, V. I.
Source: Acoustical Physics. Nov2001, Vol. 47 Issue 6, p682. 6p.
Subjects: Piezoelectric materials, Acoustic surface waves
Abstract: Various search procedures for finding the global extremum of a multivariate target function (TF) necessary for calculating the characteristics of surface acoustic waves (SAW) and leaky surface acoustic waves (LSAW) in crystals are analyzed. The search procedures aimed at determining the optimal orientations for SAW in crystals are considered. A comparative analysis of the promising methods for finding the global extremum of the TF is performed. [ABSTRACT FROM AUTHOR]
Copyright of Acoustical Physics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Various search procedures for finding the global extremum of a multivariate target function (TF) necessary for calculating the characteristics of surface acoustic waves (SAW) and leaky surface acoustic waves (LSAW) in crystals are analyzed. The search procedures aimed at determining the optimal orientations for SAW in crystals are considered. A comparative analysis of the promising methods for finding the global extremum of the TF is performed. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Acoustical Physics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1134/1.1418894
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