RCGLS replaces the gradient in CGLS with a randomized coordinate version via a constraint correction view, proving linear convergence in expectation better than randomized coordinate descent, plus sparse implementation and ridge regression extension.
On adap tive stochastic extended iterative methods for solving least squares
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Randomized conjugate gradient least squares
RCGLS replaces the gradient in CGLS with a randomized coordinate version via a constraint correction view, proving linear convergence in expectation better than randomized coordinate descent, plus sparse implementation and ridge regression extension.