The paper gives a self-contained account of linear least squares regression when the errors have an arbitrary error covariance matrix. The finite sample size case is ...
In this paper, we investigate the condition numbers for the generalized matrix inversion and the rank deficient linear least squares problem: minx ∥Ax-b∥₂, where A is an m-by-n (m ≥ n) rank deficient ...
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