Metadata-Version: 1.1
Name: pppack
Version: 1.1.0
Summary: A Python Piecewise Polynomial Package
Home-page: https://github.com/ndarmage/pppack
Author: Daniele Tomatis
Author-email: daniele.tomatis@gmail.com
License: MIT
Description: PPPACK
        ======
        
        :Author: Daniele Tomatis
        :Date: 02/05/2017
        
        Piece-wise Polynomial Package for multivariate interpolation of real-valued scalar functions.
        
        This package offers representations of multi-dimensional functions using piece-wise polynomials. Python handles memory management, whereas external FORTRAN libraries perform all the numerics in order to ensure high computational performances with big amount of data.
        
        The main FORTRAN library is an enhanced version of pppack.f90, whose original version by J. Burkardt is available on www.netlib.org/pppack. External FORTRAN libraries are available in the folder src. To get the shared object to import in a python module just enter the pppack/lib folder and run `.../bin/wrap.sh libname` where `libname` can be pppack, chebyshev_inter or divdif.
        
        The documentation is produced by Sphinx, so additional directives (as math) are used in the docstrings. Please see also the additional sphinx.extension-s used before making the doc.
        
        
        Contact
        =======
        
        Please send bug reports, patches and other feedback to:
        
        Daniele . Tomatis ( at ) gmail . com
        
        
        Contributions
        =============
        
        02/05/2017 - Esteban Szames, implementation of tests.
        
Keywords: multivariate polynomial splines fortran
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2.7
Classifier: Topic :: Software Development :: Build Tools
Classifier: Programming Language :: Fortran
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development :: Libraries :: Python Modules
