Tikhonov regularization is a technique used to stabilize the solution of ill-posed problems by adding a regularization term to the objective function, typically in the form of a norm of the solution. This method helps to mitigate the effects of noise or other inaccuracies in the data, ensuring that the solutions are not only accurate but also stable and meaningful. It connects deeply with variational analysis and is often applied in optimization problems, equilibrium problems, and variational inequalities.
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