The QLY least-squares and the QLY least-squares minimal-norm of linear dual least squares problems
Hongxing Wang, Chong Cui, Yimin Wei
Abstract
Hongxing Wang, Chong Cui, Yimin Wei
Abstract
In this paper, we define a QLY total order ≤Q over Dm to compare the magnitude of dual vectors. Then we consider the QLY least-squares problem and give its compact formula. Meanwhile, by comparing with a least-squares and the least-squares minimal-norm solutions, we can investigate a QLY least-squares and the QLY least-squares minimal-norm of linear dual least-squares problems. In particular, in the presence of a least-squares solution, we can get a QLY least-squares solution to be more accurate than a least-squares solution under the QLY total order.
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In this paper, we define a QLY total order ≤Q over Dm to compare the magnitude of dual vectors. Then we consider the QLY least-squares problem and give its compact formula. Meanwhile, by comparing with a least-squares and the least-squares minimal-norm solutions, we can investigate a QLY least-squares and the QLY least-squares minimal-norm of linear dual least-squares problems. In particular, in the presence of a least-squares solution, we can get a QLY least-squares solution to be more accurate than a least-squares solution under the QLY total order.
Key concepts: Total least squares, Mathematics, Non-linear least squares, Least-squares function approximation, Iteratively reweighted least squares, Generalized least squares, Linear least squares, Norm (philosophy)