Gaussian processes and random fields have a long history, covering multiple approaches to representing spatial and spatio-temporal dependence structures, such as covariance …
Partial differential equations (PDEs) are used with huge success to model phenomena across all scientific and engineering disciplines. However, across an equally wide swath …
S Harizanov, R Lazarov, S Margenov - Fractional Calculus and …, 2020 - degruyter.com
The survey is devoted to numerical solution of the equation A α u= f, 0< α< 1, where A is a symmetric positive definite operator corresponding to a second order elliptic boundary value …
We present three schemes for the numerical approximation of fractional diffusion, which build on different definitions of such a non-local process. The first method is a PDE approach …
RH Nochetto, E Otárola, AJ Salgado - Foundations of Computational …, 2015 - Springer
The purpose of this work is to study solution techniques for problems involving fractional powers of symmetric coercive elliptic operators in a bounded domain with Dirichlet boundary …
X Zheng, H Wang - SIAM Journal on Numerical Analysis, 2020 - SIAM
Variable-order space-time fractional diffusion equations, in which the variation of the fractional orders determined by the fractal dimension of the media via the Hurst index …
The analysis of nonlocal discrete equations driven by fractional powers of the discrete Laplacian on a mesh of size h> 0 (− Δ h) su= f, for u, f: Z h→ R, 0< s< 1, is performed. The …
A Bonito, W Lei, JE Pasciak - Numerische Mathematik, 2019 - Springer
We propose a new nonconforming finite element algorithm to approximate the solution to the elliptic problem involving the fractional Laplacian. We first derive an integral representation …
The fractional Laplacian in R^ d has multiple equivalent characterizations. Moreover, in bounded domains, boundary conditions must be incorporated in these characterizations in …