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        Application of global optimisation to particle identification using light scattering

        Author
        Zakovic, S.
        Ulanowski, Zbigniew
        Bartholomew-Biggs, Michael
        Attention
        2299/6935
        Abstract
        Numerical methods of solving the inverse light scattering problem for spheres are presented. The methods are based on two stochastic global optimization techniques: Deep's random search and the multilevel single-linkage clustering analysis due to Rinnooy Kan and Timmer. Computational examples show that the radius and the refractive index of spheres comparable with or larger than the wavelength of light can be recovered from multiangle scattering data. While the random search approach is faster, the clustering analysis is shown to be more reliable. A general discussion of the clustering method is also given.
        Publication date
        1998
        Published in
        Inverse Problems
        Published version
        https://doi.org/10.1088/0266-5611/14/4/019
        Other links
        http://hdl.handle.net/2299/6935
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