Metadata-Version: 1.1
Name: numdifftools
Version: 0.9.2
Summary: Solves automatic numerical differentiation problems in one or more variables.
Home-page: https://github.com/pbrod/numdifftools/
Author: pbrod
Author-email: per.andreas.brodtkorb@gmail.com
License: new-bsd
Description: 
        Numdifftools
        ============
        
        .. image:: https://badge.fury.io/py/numdifftools.png
            :target: https://pypi.python.org/pypi/Numdifftools/
        
        .. image:: https://travis-ci.org/pbrod/numdifftools.svg?branch=master
            :target: https://travis-ci.org/pbrod/numdifftools
        
        .. image:: https://pypip.in/d/numdifftools/badge.png
                :target: https://pypi.python.org/pypi/Numdifftools/
        
        
        Suite of tools written in `_Python <http://www.python.org/>`_ to solve automatic
        numerical differentiation problems in one or more variables. Finite differences
        are used in an adaptive manner, coupled with a Romberg extrapolation methodology
        to provide a maximally accurate result.
        The user can configure many options like; changing the order of the method or
        the extrapolation, even allowing the user to specify whether complex-step, central, forward or
        backward differences are used.
        
        The methods provided are:
        
        - **Derivative**: Compute the derivatives of order 1 through 10 on any scalar function.
        
        - **Gradient**: Compute the gradient vector of a scalar function of one or more variables.
        
        - **Jacobian**: Compute the Jacobian matrix of a vector valued function of one or more variables.
        
        - **Hessian**: Compute the Hessian matrix of all 2nd partial derivatives of a scalar function of one or more variables.
        
        - **Hessdiag**: Compute only the diagonal elements of the Hessian matrix 
        
        All of these methods also produce error estimates on the result.
        
        
        The documentation for numdifftools is available here http://numdifftools.readthedocs.org/
        
        Download the toolbox here: http://pypi.python.org/pypi/Numdifftools
        
        ----
        
        News
        """"
        2015
        ----
        August 20
        ^^^^^^^^^
        `New release of Numdifftools 0.9.1. <http://pypi.python.org/pypi/Numdifftools/0.9.0>`_
        
        2014
        ----
        December 18
        ^^^^^^^^^^^
        `New release of Numdifftools 0.7.7. <http://pypi.python.org/pypi/Numdifftools/0.7.7>`_
        
        
        December 17
        ^^^^^^^^^^^
        `New release of Numdifftools 0.7.3. <http://pypi.python.org/pypi/Numdifftools/0.7.3>`_
        
        February 8
        ^^^^^^^^^^
        `New release of Numdifftools 0.6.0. <http://pypi.python.org/pypi/Numdifftools/0.6.0>`_
        : 
        
        January 10
        ^^^^^^^^^^
        `New release of Numdifftools 0.5.0. <http://pypi.python.org/pypi/Numdifftools/0.5.0>`_
        
        2012
        ------
        May 5
        ^^^^^^
        `New release of Numdifftools 0.4.0. <http://pypi.python.org/pypi/Numdifftools/0.4.0>`_
        
        
        2011
        ----
        
        May 19
        ^^^^^^
        `New release of Numdifftools 0.3.5. <http://pypi.python.org/pypi/Numdifftools/0.3.5>`_
        
        
        Feb 24
        ^^^^^^
        `New release of Numdifftools 0.3.4. <http://pypi.python.org/pypi/Numdifftools/0.3.4>`_
        
        2009
        ----
        
        May 20
        ^^^^^^
        `New beta release of Numdifftools 0.3.1. <http://pypi.python.org/pypi/Numdifftools/0.3.1>`_
        
        
        
        
        
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Mathematics
