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Our Algorithm (3.2) solves the minimum norm solution of. .
Our Algorithm (3.2) solves the minimum norm solution of.
Then converges strongly to the -minimal norm solution x0 ∈ S0.
Thus, w ∗ is the minimum norm solution of GSEP (1.1).
Similar to the minimum L 2 norm solution, minimum L 1 norm solution aims at solving the following minimization problem.
The Savitzky Golay (SG) filter design problem is posed as the minimum norm solution of an underdetermined equation system.
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Therefore, is the minimum-norm solution of.This completes the proof.
However, most of them cannot find the minimum-norm solution.
The experimental tests show that the least-norm solution is more robust than the Newton's algorithm.
This technical note presents a least-norm solution in terms of angle-error for the global WireWarping.
The sequence generated by algorithm (4.1) converges strongly to the minimum-norm solution of SFP (1.1).
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