This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
Latest Version Dependencies status unknown Test status unknown Test coverage unknown
Project Description


Getting Started

Install using python install or run from the local checkout.


Centralized input & output. The sparse matrix and right hand side are input only on the rank 0 process. The system is solved using all available processes and the result is available on the rank 0 process.

from mumps import DMumpsContext
ctx = DMumpsContext()
if ctx.myid == 0:
    x = b.copy()
    ctx.set_rhs(x) # Modified in place # Analysis + Factorization + Solve
ctx.destroy() # Cleanup

Re-use symbolic or numeric factorizations.

from mumps import DMumpsContext
ctx = DMumpsContext()
if ctx.myid == 0:
    ctx.set_centralized_assembled_rows_cols(A.row+1, A.col+1) # 1-based # Analysis

if ctx.myid == 0:
    ctx.set_centralized_assembled_values( # Factorization

if ctx.myid == 0:
    x = b1.copy()
    ctx.set_rhs(x) # Solve

# Reuse factorizations by running `job=3` with new right hand sides
# or analyses by supplying new values and running `job=2` to repeat
# the factorization process.
Release History

Release History


This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
PyMUMPS-0.1.tar.gz (97.0 kB) Copy SHA256 Checksum SHA256 Source Apr 8, 2013

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