Analytical study of error components for solving discrete ill-posed problems using random projections

DOI10.1007/s10559-015-9791-0zbMath1336.65065OpenAlexW2260272927MaRDI QIDQ269160

E. G. Revunova

Publication date: 18 April 2016

Published in: Cybernetics and Systems Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10559-015-9791-0

zbMATH Keywords

regularizationrandom projectiondiscrete ill-posed problemerror componentminimum error

Mathematics Subject Classification ID

Ill-posedness and regularization problems in numerical linear algebra (65F22)

Related Items (3)

Model selection criteria for a linear model to solve discrete ill-posed problems on the basis of singular decomposition and random projection ⋮ Increasing the accuracy of solving discrete ill-posed problems by the random projection method ⋮ A linear system output transformation for sparse approximation

Uses Software

• Regularization tools
• UTV

Cites Work

• Unnamed Item
• A randomized method for solving discrete ill-posed problems
• Rank-Deficient and Discrete Ill-Posed Problems

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