Substructuring domain decomposition scheme for unsteady problems
For researchers in parallel computing for PDEs, this provides a novel iteration-free domain decomposition method with unconditional stability, though the numerical validation is limited to a model problem.
The paper proposes unconditionally stable domain decomposition schemes for unsteady problems, based on two-component splitting into subdomain and boundary problems, and demonstrates numerical results for a 2D parabolic equation.
Domain decomposition methods are used for approximate solving boundary problems for partial differential equations on parallel computing systems. Specific features of unsteady problems are taken into account in the most complete way in iteration-free schemes of domain decomposition. Regionally-additive schemes are based on different classes of splitting schemes. In this paper we highlight a class of domain decomposition schemes which is based on the partition of the initial domain into subdomains with common boundary nodes. Using the partition of unit we have constructed and studied unconditionally stable schemes of domain decomposition based on two-component splitting: the problem within subdomain and the problem at their boundaries. As an example there is considered the Cauchy problem for evolutionary equations of first and second order with non-negative self-adjoint operator in a finite Hilbert space. The theoretical consideration is supplemented with numerical solving a model problem for the two-dimensional parabolic equation.