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On the a posteriori choice of a regularization parameter in the solution of severely ill-posed problems

机译:关于重病态问题解的正则化参数的后验选择

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摘要

We consider the problem of approximate solution of severely ill-posed problems with perturbed right-hand sides. The approximation properties of a finite-dimensional version of the Tikhonov regularization in the combination with the a posteriori, choice of a regularization parameter by means of the balancing principle are analyzed. It is shown that this approach provides an optimal order of accuracy. The efficiency of the theoretical results is checked by comparison with the earlier known methods.
机译:我们考虑带有扰动右侧的严重不适定问题的近似解问题。分析了Tikhonov正则化的有限维形式与后验相结合的近似性质,并根据平衡原理选择了正则化参数。结果表明,该方法提供了最佳的精度顺序。通过与较早的已知方法进行比较来检验理论结果的效率。

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