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A Schur complement approach to preconditioning sparse linear least-squares problems with some dense rows.
Jennifer A. Scott
Miroslav Tuma
Published in:
Numer. Algorithms (2018)
Keyphrases
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linear least squares
least squares
regularized least squares
image processing
optical flow
linear systems
quadratic programming
coefficient matrix