Scientific Computing with Ordinary Differential Equations
Scientific Computing with Ordinary Differential Equations
Direct Methods for Sparse Linear Systems (Fundamentals of Algorithms 2)
Direct Methods for Sparse Linear Systems (Fundamentals of Algorithms 2)
Arbitrary-level hanging nodes and automatic adaptivity in the hp-FEM
Mathematics and Computers in Simulation
Journal of Computational and Applied Mathematics
Solving a suite of NIST benchmark problems for adaptive FEM with the Hermes library
Journal of Computational and Applied Mathematics
hp-FEM electromechanical transduction model of ionic polymer-metal composites
Journal of Computational and Applied Mathematics
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We present a novel approach to automatic adaptivity in higher-order finite element methods (hp-FEM) which is free of analytical error estimates. This means that a computer code based on this approach can be used to solve adaptively a wide range of PDE problems. A posteriori error estimation is done computationally via hierarchic extension of finite element spaces. This is an analogy to embedded higher-order methods for ODE. The adaptivity process yields a sequence of embedded stiffness matrices which are solved efficiently using a simple combined direct-iterative algorithm. The methodology works equally well for standard low-order FEM and for the hp-FEM. Numerical examples are presented.