Polyhedral Gauß–Seidel converges
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C. Gräser
Abstract
- We prove global convergence of an inexact extended polyhedral Gauß-Seidel method for the minimization of strictly convex functionals that are continuously differentiable on each polyhedron of a polyhedral decomposition of their domains of definition. While pure Gauß-Seidel methods are known to be very slow for problems governed by partial differential equations, the presented convergence result also covers multilevel methods that extend the Gauß-Seidel step by coarse level corrections. Our result generalizes the proof of [10] for differentiable functionals on the Gibbs simplex. Example applications are given that require the generality of our approach.
© 2014 by Walter de Gruyter Berlin/Boston
Articles in the same Issue
- Frontmatter
- Discontinuous Galerkin finite element method for plate contact problem with frictional boundary conditions
- A non-conforming composite quadrilateral finite element pair for feedback stabilization of the Stokes equations
- Polyhedral Gauß–Seidel converges
- On the best approximate (P,Q)-orthogonal symmetric and skew-symmetric solution of the matrix equation AXB=C
Articles in the same Issue
- Frontmatter
- Discontinuous Galerkin finite element method for plate contact problem with frictional boundary conditions
- A non-conforming composite quadrilateral finite element pair for feedback stabilization of the Stokes equations
- Polyhedral Gauß–Seidel converges
- On the best approximate (P,Q)-orthogonal symmetric and skew-symmetric solution of the matrix equation AXB=C