Interval simulated annealing applied to electrical impedance tomography image reconstruction with fast objective function evaluation

DOI10.1016/j.camwa.2016.06.021zbMath1357.65245OpenAlexW2501295361WikidataQ58419789 ScholiaQ58419789MaRDI QIDQ516678

Erick Dario León Bueno de Camargo, Marcos de Sales Guerra Tsuzuki, Fernando Silva de Moura, Marcelo Brito Passos Amato, Thiago de Castro Martins, Raul Gonzalez Lima

Publication date: 15 March 2017

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2016.06.021

zbMATH Keywords

inverse problemsimulated annealingelectrical impedance tomography

Mathematics Subject Classification ID

PDEs in connection with optics and electromagnetic theory (35Q60) Approximation methods and heuristics in mathematical programming (90C59) Numerical methods for inverse problems for boundary value problems involving PDEs (65N21)

Related Items (1)

Curve approximation by adaptive neighborhood simulated annealing and piecewise Bézier curves

Uses Software

• LSQR
• Eigen

Cites Work

• Unnamed Item
• Optimization by Simulated Annealing
• Matrices, moments and quadrature. II: How to compute the norm of the error iterative methods
• Estimates of the \(l_2\) norm of the error in the conjugate gradient algorithm
• LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares
• Existence and Uniqueness for Electrode Models for Electric Current Computed Tomography
• Nonstationary inverse problems and state estimation
• Electrical impedance tomography
• Complete Electrode Model of Electrical Impedance Tomography: Approximation Properties and Characterization of Inclusions
• The Lanczos and Conjugate Gradient Algorithms

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