Optimal Regularized Inverse Matrices for Inverse Problems

DOI10.1137/16M1066531zbMath1367.65059arXiv1603.05867OpenAlexW2963698472MaRDI QIDQ5270416

Matthias Chung, Julianne Chung

Publication date: 23 June 2017

Published in: SIAM Journal on Matrix Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1603.05867

zbMATH Keywords

regularizationinverse matrixBayes risklow-rank matrix approximationill-posed inverse problems

Mathematics Subject Classification ID

Computational methods for sparse matrices (65F50) Ill-posedness and regularization problems in numerical linear algebra (65F22) Theory of matrix inversion and generalized inverses (15A09) Inverse problems in linear algebra (15A29)

Related Items

Low-Rank Eigenvector Compression of Posterior Covariance Matrices for Linear Gaussian Inverse Problems, Effective implementation to reduce execution time of a low-rank matrix approximation problem

Uses Software

• LSQR
• Regularization tools

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