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MIQR: A multilevel incomplete QR preconditioner for large sparse least-squares problems
Li Na,
Yousef Saad
Computer Science and Engineering
Research output
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Contribution to journal
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Article
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peer-review
23
Scopus citations
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Dive into the research topics of 'MIQR: A multilevel incomplete QR preconditioner for large sparse least-squares problems'. Together they form a unique fingerprint.
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Keyphrases
Dropping Strategies
50%
Incomplete Factorization
50%
Least Squares Problems
100%
Level Matrix
50%
Multigrid Solver
50%
Normal Equations
50%
Number of Levels
50%
Numerical Test
50%
Orthogonal Pattern
50%
Orthogonality
50%
QR Factorization
100%
Sparse Matrices
50%
Sparse Partial Least Squares
100%
Sparsity
50%
Mathematics
Factorization
66%
Independent Set
100%
Least Square
100%
Matrix
33%
Normal Equation
33%
Orthogonality
33%
QR Factorization
66%
Sparse Matrix
33%
Engineering
Good Level
50%
Least Square Problem
100%
Normal Equation
50%
Orthogonality
50%
Recursive
50%
Sparsity
50%