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- in mathematics , preconditioning is a procedure of an application of a transformation, called the preconditioner, that conditions a given

- in applied mathematics, symmetric successive overrelaxation (ssor is a preconditioner . d+l+l^t then ssor preconditioner matrix is defined as:

- if any of these assumptions on the preconditioner is violated, the behavior of the preconditioned conjugate gradient method may become

- the parallel high performance preconditioners (hypre) is a library of routines for parallel multigrid preconditioners for both structured

- in mathematics, neumann–neumann methods are domain decomposition preconditioner s named so because they solve a neumann problem on each

- in mathematics, the neumann–dirichlet method is a domain decomposition preconditioner which involves solving neumann boundary value

- incomplete cholesky factorization are often used as a preconditioner for algorithms like the conjugate gradient method . the cholesky

- the simplest version of feti with no preconditioner (or only a diagonal preconditioner) in the substructure is scalable with the number of

- bddc is used as a preconditioner to the conjugate gradient method . a specific version of bddc is characterized by the choice of coarse

- the construction of preconditioners is a large research area. history: probably the first iterative method for solving a linear system

- in applied mathematics, symmetric successive overrelaxation (ssor is a preconditioner . d+l+l^t then ssor preconditioner matrix is defined as:

- if any of these assumptions on the preconditioner is violated, the behavior of the preconditioned conjugate gradient method may become

- the parallel high performance preconditioners (hypre) is a library of routines for parallel multigrid preconditioners for both structured

- in mathematics, neumann–neumann methods are domain decomposition preconditioner s named so because they solve a neumann problem on each

- in mathematics, the neumann–dirichlet method is a domain decomposition preconditioner which involves solving neumann boundary value

- incomplete cholesky factorization are often used as a preconditioner for algorithms like the conjugate gradient method . the cholesky

- the simplest version of feti with no preconditioner (or only a diagonal preconditioner) in the substructure is scalable with the number of

- bddc is used as a preconditioner to the conjugate gradient method . a specific version of bddc is characterized by the choice of coarse

- the construction of preconditioners is a large research area. history: probably the first iterative method for solving a linear system