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- Balancing_domain_decomposition_method abstract "In numerical analysis, the balancing domain decomposition method (BDD) is an iterative method to find the solution of a symmetric positive definite system of linear algebraic equations arising from the finite element method. In each iteration, it combines the solution of local problems on non-overlapping subdomains with a coarse problem created from the subdomain nullspaces. BDD requires only solution of subdomain problems rather than access to the matrices of those problems, so it is applicable to situations where only the solution operators are available, such as in oil reservoir simulation by mixed finite elements. In its original formulation, BDD performs well only for 2nd order problems, such elasticity in 2D and 3D. For 4th order problems, such as plate bending, it needs to be modified by adding to the coarse problem special basis functions that enforce continuity of the solution at subdomain corners, which makes it however more expensive. The BDDC method uses the same corner basis functions as, but in an additive rather than multiplicative fashion. The dual counterpart to BDD is FETI, which enforces the equality of the solution between the subdomain by Lagrange multipliers. The base versions of BDD and FETI are not mathematically equivalent, though a special version of FETI designed to be robust for hard problems has the same eigenvalues and thus essentially the same performance as BDD.The operator of the system solved by BDD is the same as obtained by eliminating the unknowns in the interiors of the subdomain, thus reducing the problem to the Schur complement on the subdomain interface. Since the BDD preconditioner involves the solution of Neumann problems on all subdomain, it belongs to class of Neumann–Neumann methods, named so because they solve a Neumann problem on both sides of the interface between subdomains.In the simplest case, the coarse space of BDD consists of functions constant on each subdomain and averaged on the interfaces. More generally, on each subdomain, the coarse space needs to only contain the nullspace of the problem as a subspace.".
- Balancing_domain_decomposition_method wikiPageExternalLink jmandel.
- Balancing_domain_decomposition_method wikiPageID "16252572".
- Balancing_domain_decomposition_method wikiPageRevisionID "573465205".
- Balancing_domain_decomposition_method hasPhotoCollection Balancing_domain_decomposition_method.
- Balancing_domain_decomposition_method subject Category:Domain_decomposition_methods.
- Balancing_domain_decomposition_method type Ability105616246.
- Balancing_domain_decomposition_method type Abstraction100002137.
- Balancing_domain_decomposition_method type Cognition100023271.
- Balancing_domain_decomposition_method type DomainDecompositionMethods.
- Balancing_domain_decomposition_method type Know-how105616786.
- Balancing_domain_decomposition_method type Method105660268.
- Balancing_domain_decomposition_method type PsychologicalFeature100023100.
- Balancing_domain_decomposition_method comment "In numerical analysis, the balancing domain decomposition method (BDD) is an iterative method to find the solution of a symmetric positive definite system of linear algebraic equations arising from the finite element method. In each iteration, it combines the solution of local problems on non-overlapping subdomains with a coarse problem created from the subdomain nullspaces.".
- Balancing_domain_decomposition_method label "Balancing domain decomposition method".
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- Balancing_domain_decomposition_method sameAs Q4850008.
- Balancing_domain_decomposition_method sameAs Q4850008.
- Balancing_domain_decomposition_method sameAs Balancing_domain_decomposition_method.
- Balancing_domain_decomposition_method wasDerivedFrom Balancing_domain_decomposition_method?oldid=573465205.
- Balancing_domain_decomposition_method isPrimaryTopicOf Balancing_domain_decomposition_method.