Metadata-Version: 1.0
Name: SpectralToolbox
Version: 0.1.8
Summary: UNKNOWN
Home-page: http://www2.compute.dtu.dk/~dabi/index.php?slab=dtu-uq
Author: Daniele Bigoni
Author-email: dabi@dtu.dk
License: COPYING.LESSER
Description: ================
        Spectral Toolbox
        ================
        
        The SpectralToolbox is a collection of tools useful for spectral approximation methods in one or more dimensions.
        It include the construction of traditional orthogonal polynomials. Additionally one can construct orthogonal polynomials with respect to a selected measure.
        
        Description
        ===========
        
        Implementation of Spectral Methods in N dimension.
        
        Available polynomials:
            * Jacobi
            * Hermite Physicist
            * Hermite Function
            * Hermite Probabilistic
            * Laguerre Polynomial
            * Laguerre Function
            * ORTHPOL package (generation of recursion coefficients using [1]_)
        
        Available quadrature rules (related to selected polynomials):
            * Gauss
            * Gauss-Lobatto
            * Gauss-Radau
        
        Available quadrature rules (without polynomial selection):
            * Kronrod-Patterson on the real line
            * Kronrod-Patterson uniform
            * Clenshaw-Curtis
            * Fejer's
        
        Installation
        ============
        
        For everything to go smooth, I suggest that you first install some dependencies separately: `numpy <https://pypi.python.org/pypi/numpy>`_, `scipy <https://pypi.python.org/pypi/scipy>`_, `matplotlib <https://pypi.python.org/pypi/matplotlib>`_ can be installed by:
        
            $ pip install numpy scipy matplotlib
        
        If you want to accelerate some of the functionalities and work with orthogonal polynomials with respect to arbitrary measures, you should intall the `orthpol <https://pypi.python.org/pypi/orthpol>`_ package. This dependency is optional. The installation might require you to tweak some flags for the compiler (with gcc nothing should be needed).
        
           $ pip install orthpol
        
        Finally you can install the toolbox by:
        
           $ pip install SpectralToolbox
        
        
        References
        ==========
        .. [1] W. Gautschi, "Algorithm 726: ORTHPOL -- a package of routines for generating orthogonal polynomials and Gauss-type quadrature rules". ACM Trans. Math. Softw., vol. 20, issue 1, pp. 21-62, 1994
        
Platform: UNKNOWN
