软件包：libtrilinos-shylu-dev（12.18.1-2）
solving sparse linear systems - development files
ShyLU is a package for solving sparse linear systems. It can be used either as a preconditioner, or as a solver. Currently, it is recommended as an Ifpack preconditioner. ShyLU uses a hybrid direct/iterative approach based on Schur complements. The goal is to provide robustness similar to sparse direct solvers, but memory usage more similar to preconditioned iterative solvers. ShyLU was designed as a node-level solver. It can use both MPI and threads in several ways. ShyLU was designed (a) to solve difficult but medium-size problems, and (b) to be used as a subdomain solver or smoother for very large problems within an iterative scheme. It is a purely algebraic method so can be used as a black-box solver. ShyLU has been particularly successful in electrical circuit simulation (Xyce).
This package provides headers.
其他与 libtrilinos-shylu-dev 有关的软件包
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- dep: libtrilinos-shylu12 (= 12.18.1-2)
- solving sparse linear systems - runtime files
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- dep: trilinos-dev
- object-oriented framework for large-scale problems - development files
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- sug: trilinos-doc
- object-oriented framework for large-scale problems - documentation