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Domain decomposition methods for eigenvalue problems. (English) Zbl 0952.65085

The author proposes several domain decomposition methods to compute the smallest eigenvalue of linear symmetric partial differential operators. The main idea is to determine an appropriate boundary condition at the interface separating two subdomains from the zero of a nonlinear operator. This concept is applied to overlapping and nonoverlapping schemes as well as to domain imbedding algorithms. Some numerical experiments for two-dimensional problems verify the convergence of the proposed algorithms.

MSC:

65N25 Numerical methods for eigenvalue problems for boundary value problems involving PDEs
65F10 Iterative numerical methods for linear systems
65N12 Stability and convergence of numerical methods for boundary value problems involving PDEs
65N55 Multigrid methods; domain decomposition for boundary value problems involving PDEs
35P15 Estimates of eigenvalues in context of PDEs
Full Text: DOI

References:

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