Application of global optimization to particle identification using light scattering

DOI10.1088/0266-5611/14/4/019zbMath0909.35151OpenAlexW2019544140MaRDI QIDQ4209883

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Publication date: 28 September 1998

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1088/0266-5611/14/4/019

zbMATH Keywords

stochastic global optimizationrandom searchclustering analysisinverse light scattering problem for spheres

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Inverse problems for PDEs (35R30) Probabilistic methods, stochastic differential equations (65C99)

Related Items (6)

A parallel algorithm for semi-infinite programming ⋮ Application of deterministic low-discrepancy sequences in global optimization ⋮ Using global optimization for a microparticle identification problem with noisy data ⋮ On the small-defect perturbation and sampling of heterogeneous solids ⋮ Analysis of the solution of the elastic light scattering inverse problem for polymeric emulsions ⋮ Identification of multilayered particles from scattering data by a clustering method.

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