Identification of multilayered particles from scattering data by a clustering method.

DOI10.1006/jcph.2000.6584zbMath1082.78504arXivmath-ph/0010041OpenAlexW1975127355MaRDI QIDQ1592312

Semion Gutman

Publication date: 2000

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/math-ph/0010041

zbMATH Keywords

global minimizationinverse scattering problem

Mathematics Subject Classification ID

Diffraction, scattering (78A45) Inverse problems (including inverse scattering) in optics and electromagnetic theory (78A46)

Related Items (1)

Piecewise constant positive potentials with practically the same fixed energy phase shifts

Uses Software

• BRENT

Cites Work

• Optimization by Simulated Annealing
• Parallel algorithms for global optimization
• Large-scale optimization with applications. Part 2: Optimal design and control. Proceedings of a 3-week workshop, July 10--28, 1995, IMA, University of Minnesota, Minneapolis, MN, USA
• A spectral boundary integral equation method for the 2D Helmholtz equation
• Bayesian stopping rules for multistart global optimization methods
• TRUST: A Deterministic Algorithm for Global Optimization
• Stochastic global optimization methods part I: Clustering methods
• Stochastic global optimization methods part II: Multi level methods
• Application of global optimization to particle identification using light scattering
• THE RANDOM SEARCH GLOBAL OPTIMIZATION METHOD FOR PARALLEL COMPUTERS
• Inverse acoustic and electromagnetic scattering theory
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