Browsing by Subject "M-decomposition"

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    Devising superconvergent HDG methods by M-decompositions
    (2016-05) Fu, Guosheng
    In this thesis, we develop the concept of an M-decomposition as an effective tool for devising high-order accurate hybridizable discontinuous Galerkin methods and hybridized mixed methods that superconverge on unstructured meshes of shape-regular polyhedral elements for three linear elliptic partial differential equations, namely, the (steady-state) diffusion equation, the equations for linear elasticity, and the equations for incompressible Stokes flow.