The least squares fit in a linear regression is always unique even when the design matrix has rank deficiency. In this paper, we extend this classic result to linearly constrained generalized lasso.
(CENCOS/IFEX) – The following is a 2 May 2007 CENCOS press release: On the right to free expression in Mexico: improvements still due The degree to which the right to free expression can be exercised ...
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