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In mathematical optimization, a trust region is the subset of the region of the objective function that is approximated using a model function (often a quadratic). If an adequate model of the objective function is found within the trust region, then the region is expanded; conversely, if the approximation is poor, then the region is contracted. Trust-region methods are also known as restricted-step methods. In this talk, we illustrate how to use a fixed trust region method for image recovery.
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