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    New Trends in Parameter Identification for Mathematical Models

    ISBN: 9783319708249
    ISSN: 2297-0215
    Vydáno: Cham : Springer International Publishing, 2018.
    Obsah: “…Posterior contraction in Bayesian inverse problems under Gaussian priors -- Convex regularization of discrete-valued inverse problems -- Algebraic reconstruction of source and attenuation in SPECT using first scattering measurements -- On l1-regularization under continuity of the forward operator in weaker topologies -- On self-regularization of ill-posed problems in Banach spaces by projection methods -- Monotonicity-based regularization for phantom experiment data in electrical impedance tomography -- An SVD in Spherical Surface Wave Tomography -- Numerical Studies of Recovery Chances for a Simplified EIT Problem -- Bayesian updating in the determination of forces in Euler-Bernoulli beams -- On nonstationary iterated Tikhonov methods for ill posed equation in Banach spaces -- The product midpoint rule for Abel-type integral equations of the first kind with perturbed data -- Heuristic parameter choice in Tikhonov method form minimizers of the quasi-optimality function -- Modification of Iterative Tikhonov Regularization Motivated by a Problem of Identification of Laser Beam Quality Parameters -- Tomographic terahertz imaging using sequential subspace optimization -- Adaptivity and Oracle Inequalities in Linear Statistical Inverse Problems: a (numerical) survey -- Relaxing Alternating Direction Method of Multipliers (ADMM) algorithm for linear inverse problems.…”

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