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The discretized discrepancy principle under general source conditions.

, and . J. Complexity, 22 (3): 371-381 (2006)

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Optimization of Methods for Approximate Solution of Operator Equations.. Nova Science Publishers, (1996)Information complexity of equations of the second kind with compact operators in Hilbert space., and . J. Complexity, 8 (2): 176-202 (1992)On regularization algorithms in learning theory., , and . J. Complexity, 23 (1): 52-72 (2007)Stable Summation of Orthogonal Series with Noisy Coefficients., and . Journal of Approximation Theory, 118 (1): 66-80 (2002)Direct Estimation of Linear Functionals from Indirect Noisy Observations., and . J. Complexity, 18 (2): 500-516 (2002)Regularized Total Least Squares: Computational Aspects and Error Bounds., , and . SIAM J. Matrix Analysis Applications, 31 (3): 918-941 (2009)Discretized Tikhonov regularization for Robin boundaries localization., , and . Applied Mathematics and Computation, (2014)The Minimal Radius of Galerkin Information for the Fredholm Problem of the First Kind., and . J. Complexity, 12 (4): 401-415 (1996)An adaptive discretization for Tikhonov-Phillips regularization with a posteriori parameter selection., , , and . Numerische Mathematik, 87 (3): 485-502 (2001)The discretized discrepancy principle under general source conditions., and . J. Complexity, 22 (3): 371-381 (2006)