Binary package “python3-amgcl” in ubuntu noble
Solves large sparse linear systems with algebraic multigrid method
AMG is one of the most effective iterative methods for solution of equation
systems arising, for example, from discretizing PDEs on unstructured grids. The
method can be used as a black-box solver for various computational problems,
since it does not require any information about the underlying geometry. AMG is
often used not as a standalone solver but as a preconditioner within an
iterative solver (e.g. Conjugate Gradients, BiCGStab, or GMRES).
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AMGCL builds the AMG hierarchy on a CPU and then transfers it to one of the
provided backends. This allows for transparent acceleration of the solution
phase with help of OpenCL, CUDA, or OpenMP technologies. Users may provide
their own backends which enables tight integration between AMGCL and the user
code.
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This package provides the Python interface
Source package
Published versions
- python3-amgcl 1.4.3-5 in amd64 (Release)
- python3-amgcl 1.4.3-5build1 in amd64 (Proposed)
- python3-amgcl 1.4.3-5build1 in amd64 (Release)
- python3-amgcl 1.4.3-5 in arm64 (Release)
- python3-amgcl 1.4.3-5build1 in arm64 (Proposed)
- python3-amgcl 1.4.3-5build1 in arm64 (Release)
- python3-amgcl 1.4.3-5 in armhf (Release)
- python3-amgcl 1.4.3-5build1 in armhf (Proposed)
- python3-amgcl 1.4.3-5build1 in armhf (Release)
- python3-amgcl 1.4.3-5 in ppc64el (Release)
- python3-amgcl 1.4.3-5build1 in ppc64el (Proposed)
- python3-amgcl 1.4.3-5build1 in ppc64el (Release)
- python3-amgcl 1.4.3-5 in riscv64 (Release)
- python3-amgcl 1.4.3-5build1 in riscv64 (Proposed)
- python3-amgcl 1.4.3-5build1 in riscv64 (Release)
- python3-amgcl 1.4.3-5 in s390x (Release)
- python3-amgcl 1.4.3-5build1 in s390x (Proposed)
- python3-amgcl 1.4.3-5build1 in s390x (Release)