Convex optimization of measurement allocation for magnetic tracking systems

DOI10.1007/S11081-016-9342-1zbMath1390.90631OpenAlexW2560900240WikidataQ59612033 ScholiaQ59612033MaRDI QIDQ1642986

Oskar Talcoth, Thomas Rylander, Gustav Risting

Publication date: 18 June 2018

Published in: Optimization and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11081-016-9342-1

zbMATH Keywords

convex optimizationdesign of experimentsoptimal measurementsmagnetic tracking

Mathematics Subject Classification ID

Convex programming (90C25) Applications of mathematical programming (90C90) Integer programming (90C10) Detection theory in information and communication theory (94A13) Experimental work for problems pertaining to optics and electromagnetic theory (78-05)

Uses Software

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Cites Work

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• Identification of parametric models from experimental data. Transl. from an upd. French version by the authors, with the help of John Norton
• Design of experiments in nonlinear models. Asymptotic normality, optimality criteria and small-sample properties
• Optimal Measurement Methods for Distributed Parameter System Identification
• From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images
• Sensor Selection via Convex Optimization
• Optimal Design of Experiments
• SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization
• Cramér–Rao lower bounds for inverse scattering problems of multilayer structures

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