Convergence properties of multi-dimensional stack filters
Peter Wendt
Electronic Imaging: Advanced Devices and Systems 1990
In this paper we consider relaxation methods for solving linear systems of equations. These methods are suited for execution on a parallel system of processors. They have the feature of allowing a minimal amount of communication of computational status between the computers, so that the relaxation process, while taking on a chaotic appearance, reduces programming and processor time of a bookkeeping nature. We give a precise characterization of chaotic relaxation, some examples of divergence, and conditions guaranteeing convergence. © 1969.
Peter Wendt
Electronic Imaging: Advanced Devices and Systems 1990
Martin C. Gutzwiller
Physica D: Nonlinear Phenomena
Paul J. Steinhardt, P. Chaudhari
Journal of Computational Physics
Juliann Opitz, Robert D. Allen, et al.
Microlithography 1998