The truncatedSVD as a method for regularization

1987/12/01 by Per Christian Hansen · 2 citations
Computer Science · Mathematics · #Algorithm #Applied mathematics #Artificial intelligence #Combinatorics #Computer science #Eigenvalues and eigenvectors #Linear least squares #Mathematical optimization #Mathematics #Matrix Theory and Algorithms #Numerical methods in inverse problems #Physics #Rank (graph theory) #Regularization (linguistics) #Singular value #Singular value decomposition #Statistical and numerical algorithms

paper · doi:10.1007/bf01937276

crossref issued 1987/12/01 · crossref published 1987/12/01 · crossref published-print 1987/12/01 · openalex publication_date 1987/12/01 · crossref created 2005/07/25 · crossref deposited 2020/04/08 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/04 · crossref indexed 2026/08/05

Citations

• A Technique for the Numerical Solution of Certain Integral Equations of the First Kind
• Perturbation bounds in connection with singular value decomposition
• Perturbation theory for pseudo-inverses

Cited by

• Efficient emulation of nuclear ground states with neural-network variational Monte Carlo and eigenvector continuation
• Singular value decomposition [wikipedia]