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- W233991140 abstract "We describe an efficient implementation of an algorithm for computing selected elements of a general sparse symmetric matrix A that can be decomposed as A = LDL^T, where L is lower triangular and D is diagonal. Our implementation, which is called SelInv, is built on top of an efficient supernodal left-looking LDL^T factorization of A. We discuss how computational efficiency can be gained by making use of a relative index array to handle indirect addressing. We report the performance of SelInv on a collection of sparse matrices of various sizes and nonzero structures. We also demonstrate how SelInv can be used in electronic structure calculations." @default.
- W233991140 created "2016-06-24" @default.
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- W233991140 date "2009-10-16" @default.
- W233991140 modified "2023-10-18" @default.
- W233991140 title "SelInv - An Algorithm for Selected Inversion of a Sparse Symmetric Matrix" @default.
- W233991140 doi "https://doi.org/10.21236/ada522688" @default.
- W233991140 hasPublicationYear "2009" @default.
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