On Computation of the Design Function Gradient for the Sensor-Location Problem in Variational Data Assimilation

DOI10.1137/110825121zbMath1248.65068OpenAlexW1985005735MaRDI QIDQ2904834

Igor Yu. Gejadze, Victor P. Shutyaev

Publication date: 23 August 2012

Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/110825121

zbMATH Keywords

algorithmglobal optimizationnumerical experimentsLanczos methodoptimal experiment designRitz pairsdesign function gradientlarge-scale flow models, variational data assimilationlimited-memory inverse Hessiansensor-location problem

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Existence theories for optimal control problems involving partial differential equations (49J20) Discrete approximations in optimal control (49M25)

Related Items (3)

Optimal Sensor Positioning; A Probability Perspective Study ⋮ Linear and nonlinear sensor placement strategies for mean-flow reconstruction via data assimilation ⋮ Optimal sensor placement for joint parameter and state estimation problems in large-scale dynamical systems with applications to thermo-mechanics

Uses Software

• ARPACK
• TAPENADE

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