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Tikhonov regularization is a classical method for solving ill-posed problems, constraining the solution space by adding a parameter norm penalty (such as L2 regularization) to the objective function, which in second-order optimization is equivalent to adding a positive definite term (such as λI) to the Hessian matrix.
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10/21/2026
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