amgcl 1.4.3-6 source package in Ubuntu
Changelog
amgcl (1.4.3-6) unstable; urgency=medium * Rebuild for python 3.12 -- Dima Kogan <email address hidden> Tue, 25 Jun 2024 20:54:38 -0700
Upload details
- Uploaded by:
- Debian Science Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Science Team
- Architectures:
- any all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Oracular | release | multiverse | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| amgcl_1.4.3-6.dsc | 2.3 KiB | 405949718bdd25eb341d319a32dea93a8a8f2c2c77a4169911d92c3623ec9377 |
| amgcl_1.4.3.orig.tar.gz | 2.9 MiB | e920d5767814ce697d707d1f359a16c9b9eb79eba28fe19e14c18c2a505fe0ad |
| amgcl_1.4.3-6.debian.tar.xz | 6.1 KiB | b67fa4085643bfb64b4d26ddb838a1a5bb88a884ca4657bc7b4e7fb3b4bb4c3e |
Available diffs
- diff from 1.4.3-5build1 (in Ubuntu) to 1.4.3-6 (341 bytes)
No changes file available.
Binary packages built by this source
- libamgcl-dev: 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).
.
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.
.
AMG is a header-only C++ library, with the headers provided by this package.
- python3-amgcl: 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).
.
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.
.
This package provides the Python interface
