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Uniformly a posteriori error estimates for regularizing algorithms
M. M. Kokurin Mari State University, Yoshkar-Ola, 424000 Russia
Abstract:
A modification for the definition of an a posteriori error estimate for a regularizing algorithm for solving an ill-posed problem is proposed. We introduce, analyze and illustrate by examples the concept of a uniformly a posteriori error estimate for a regularizing algorithm. A necessary and sufficient condition for the existence of a regularizing algorithm satisfying such an estimate is established. The class of conditionally well-posed problems is characterized in terms of regularizability with uniformly a posteriori error estimates.
Key words:
ill-posed problem, regularizing algorithm, error estimate, a posteriori estimate, uniformly a posteriori estimate.
Received: 18.09.2019 Revised: 18.09.2019 Accepted: 10.03.2020
Citation:
M. M. Kokurin, “Uniformly a posteriori error estimates for regularizing algorithms”, Zh. Vychisl. Mat. Mat. Fiz., 60:7 (2020), 1281–1288; Comput. Math. Math. Phys., 60:7 (2020), 1240–1247
Linking options:
https://www.mathnet.ru/eng/zvmmf11110 https://www.mathnet.ru/eng/zvmmf/v60/i7/p1281
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