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2026-04-05 23:39:01.1775432341

reformulate optimization problems as a standard least square problem

37 Views Asked by Bumbble Comm https://math.techqa.club/user/bumbble-comm/detail At 05 Apr 2026 - 11:39 2026-04-05 23:49:01.1775432941

The first summand in the objective represents data fidelity; the second summand in the objective promotes smoothness. I have no idea how to understand this equation. Why xhat will be equal to the sum of two constants? What does each part mean in this equation?

least-squares
Original Q&A

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