Domain Decomposition for Elliptic Partial Differential Equations with Neumann Boundary Conditions
Discretization of a self-adjoint elliptic partial differential equation by finite differences or finite elements yields a large, sparse, symmetric system of equations, <em>Ax=b</em>. We use the preconditioned conjugate gradient method with domain decomposition to develop an effective, vectorizable preconditioner which is suitable for solving large two-dimensional problems on vector and parallel machines.
Citable link to this pagehttps://hdl.handle.net/1911/101621
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