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Showing 1 to 3 of 3 for “"Tikhonov regularisation"”.

  1. Novel higher order regularisation methods for image reconstruction

    … These methods are formulated in the context of Tikhonov regularisation. We focus on regularisation techniques in which the regulariser incorporates second order derivatives or a sophisticated combination of first and second order derivatives. The introduction of higher order derivatives in the …

    cambridge Repository record for Novel higher order regularisation methods for image reconstruction (opens in a new tab)

  2. Distributional fixed point equation model of island nucleation processes during submonolayer deposition

    … the inverse problem in another way: by using the Tikhonov regularisation method, and compare these results against each other and with the theoretical predictions. For the case of the gaps, we can directly measure P during the kinetic Monte Carlo simulations. We compare the results to the …

    strathclyde Repository record for Distributional fixed point equation model of island nucleation processes during submonolayer deposition (opens in a new tab)

  3. Statistical inference and computation in elliptic PDE models

    … statistical convergence rates for nonparametric Tikhonov-type estimators, which can be interpreted also as Bayesian maximum a posteriori (MAP) estimators arising from certain Gaussian process priors. The theory is derived in a general setting for non-linear inverse problems and then applied to …

    cambridge Repository record for Statistical inference and computation in elliptic PDE models (opens in a new tab)