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Parameter estimation problems are formulated as constrained, regularized optimization problems. Reduced SQP methods with BFGS update are analyzed to solve these infinite-dimensional optimization problems. Rate of convergence results are given and numerical feasibility of the resulting algorithms is demonstrated.
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Kunisch et al. (1992) studied this question.
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