1. Lisandro Dalcin
  2. tao4py

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README: TAO for Python

Author: Lisandro Dalcin
Contact: dalcinl@gmail.com
Organization: CIMEC <http://www.cimec.org.ar>
Address:
CCT CONICET, 3000 Santa Fe, Argentina

Thank you for downloading the TAO for Python project archive. As this is a work in progress, please check the project website for updates.

  • To build and install this package, you must meet the following requirements.
    • TAO 2.2 or 2.1, built with shared libraries.
    • PETSc 3.4 or 3.3, built with shared libraries.
    • Python 2.4 to 2.7 and 3.1 to 3.3.
    • NumPy package.
    • petsc4py package.
  • This package uses standard distutils. For detailed instructions about requirements and the building/install process, read the file docs/source/install.rst.