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Factorized sparse approximate inverse preconditionings. III. Iterative construction of preconditioners
This paper presents new results of the theoretical study of factorized sparse approximate inverse (FSAI) preconditionings. In particular, the effect of the a posteriori Jacobi scaling and theExpand
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Variable Block CG Algorithms for Solving Large Sparse Symmetric Positive Definite Linear Systems on Parallel Computers, I: General Iterative Scheme
This paper considers a new approach to construction of efficient parallel solution methods of large sparse SPD linear systems. This approach is based on the so-called variable block CG method, aExpand
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A robust AINV-type method for constructing sparse approximate inverse preconditioners in factored form
This paper suggests a new method, called AINV-A, for constructing sparse approximate inverse preconditioners for positive-de nite matrices, which can be regarded as a modi cation of the AINV methodExpand
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Factorized sparse approximate inverse preconditionings. IV: Simple approaches to rising efficiency
This paper continues the theoretical and numerical study of the so-called factorized sparse approximate inverse (FSAI) preconditionings of symmetric positive-definite matrices and considers two newExpand
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Factorized sparse approximate inverse preconditionings. IV: Simple approaches to rising efficiency
This paper continues the theoretical and numerical study of the so-called factorized sparse approximate inverse (FSAI) preconditionings of symmetric positive-definite matrices and considers two newExpand
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A robust AINV-type method for constructing sparse approximate inverse preconditioners in factored form
This paper suggests a new method, called AINV-A, for constructing sparse approximate inverse preconditioners for positive-definite matrices, which can be regarded as a modification of the AINV methodExpand
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Prefiltration technique via aggregation for constructing low-density high-quality factorized sparse approximate inverse preconditionings
This paper considers a new approach to a priori sparsification of the sparsity pattern of the factorized approximate inverses (FSAI) preconditioner using the so-called vector aggregation technique.Expand
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An incomplete LU-factorization algorithm based on block bordering
This paper suggests a new algorithm, called IBBLU, for constructing incomplete LU-factorizations of general non-singular sparse matrices. This algorithm is based on the block bordering idea and usesExpand
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