Multigrid preconditioners for linear FDEs

Main innovation: it results in a speed up for solving space fractional diffusion equations. Also, it enables a seamless and efficient extension to handle time-dependent cases.

This work deals with space/time multigrid preconditioners for fractional diffusion equations (FDEs). We started by considering an FDE with non-smooth solutions and built tailored multigrid preconditioners. Then, we considered the case of tempered FDEs. We provided a spectral study and exploited it to build tailored multigrid solvers. Finally, we dealt with a new method for solving time-dependent n-dimensional PDEs through a particular approach, which consists in computing the solution in parallel over many coarse anisotropic meshes and merging everything together to form a solution over a finer mesh.


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