Derives bilevel optimization strategies to simultaneously choose Tikhonov parameter and projection dimension for large-scale inverse problems, adapting standard rules with convergence results for the discrepancy principle.
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Adaptive Regularization Parameter Choice Rules for Large-Scale Problems
Derives bilevel optimization strategies to simultaneously choose Tikhonov parameter and projection dimension for large-scale inverse problems, adapting standard rules with convergence results for the discrepancy principle.