No project description provided
Project description
PyAMG: Algebraic Multigrid Solvers in Python
PyAMG is a library of Algebraic Multigrid (AMG) solvers with a convenient Python interface.
PyAMG features implementations of:
Ruge-Stuben (RS) or Classical AMG
AMG based on Smoothed Aggregation (SA)
Adaptive Smoothed Aggregation (αSA)
Compatible Relaxation (CR)
Krylov methods such as CG, GMRES, FGMRES, BiCGStab, MINRES, etc
PyAMG is primarily written in Python with supporting C++ code for performance critical operations.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pyamg-3.3.3a1-cp27-cp27m-win32.whl.
File metadata
- Download URL: pyamg-3.3.3a1-cp27-cp27m-win32.whl
- Upload date:
- Size: 857.3 kB
- Tags: CPython 2.7m, Windows x86
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.0.0 requests-toolbelt/0.8.0 tqdm/4.24.0 CPython/3.7.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
23d39391a8a591f828a4f58da6c0247c43a944e5d1402da179ff2c90bdade4d6
|
|
| MD5 |
44b6bbb7f91aae001519882e7232f53c
|
|
| BLAKE2b-256 |
48bca6d636573fc49637ccbc6416c27ce7a74ace56d667ada8186348bbd8cf48
|
