on stable index κ. Then a residual-based subsampling is proposed to approximate the null distribution when stable index κ …

desired solution. Therefore, regularization needs to be incorporated in the objective function which is minimized in order to …

In this paper, we consider a wavelet based singularity-preserving regularization scheme for use in signal deconvolution … Hilbert space framework, requiring regularization techniques to control arbitrary error amplifications and to get adequate …

boundary data. It is already known in the literature that semidiscretization may act like a regularization, i.e. the …

or mathematical physics, such as the inverse problem of signal deconvolution, and require regularization techniques to …

circles, we give a regularization strategy. …

regularization method is given and an order optimal stability estimate is obtained. …

equation as an ill-posed equation, Tikhonov’s regularization is used to cast a related well-posed problem. A-priori estimates …

special case of a dynamical rigid body contact problem. In particular, we present a regularization technique which leads to …

the approximate solutions with the regularization parameter selected by an a priori and an a posteriori strategy are …