Recursive Singular Value Decomposition Compression of Refined Isogeometric Analysis Matrices as a Tool to Speedup Iterative Solvers Performance.
Mateusz DobijaAnna PaszynskaPublished in: ICCS (1) (2022)
Keyphrases
- singular value decomposition
- singular values
- least squares
- low rank
- dimension reduction
- correlation matrix
- data analysis
- reconstruction error
- dimensionality reduction
- computer vision
- matrix decomposition
- image compression
- latent semantic indexing
- principal component analysis
- data matrix
- low rank approximation
- low rank matrix