Integration of the Monte Carlo covariance estimation strategy into tailored solution procedures for large-scale least squares problems

DOI10.1007/s00190-006-0034-zzbMath1138.86008OpenAlexW2071521572MaRDI QIDQ871600

Wolf-Dieter Schuh, Hamza Alkhatib

Publication date: 20 March 2007

Published in: Journal of Geodesy (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00190-006-0034-z

zbMATH Keywords

inverse problemsMonte Carlo integrationcovariance estimationGOCE gravity field processingvariance propagation

Mathematics Subject Classification ID

Computational methods for problems pertaining to geophysics (86-08) Geodesy, mapping problems (86A30)

Related Items (3)

Monte Carlo methods ⋮ Efficient GOCE satellite gravity field recovery based on least-squares using QR decomposition ⋮ Gibbs sampler by sampling-importance-resampling

Cites Work

• Gibbs sampler for computing and propagating large covariance matrices
• Assessment of three numerical solution strategies for gravity field recovery from GOCE satellite gravity gradiometry implemented on a parallel platform
• ITG-CHAMP01: a CHAMP gravity field model from short kinematic arcs over a one-year observation period
• Monte Carlo strategies in scientific computing
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