:py:mod:`pygsti.baseobjs.opcalc.slowopcalc`
===========================================

.. py:module:: pygsti.baseobjs.opcalc.slowopcalc

.. autoapi-nested-parse::

   Python implementations of common polynomial operations






Module Contents
---------------


Functions
~~~~~~~~~

.. autoapisummary::

   pygsti.baseobjs.opcalc.slowopcalc.abs_sum_bulk_eval_compact_polynomials_complex
   pygsti.baseobjs.opcalc.slowopcalc.compact_deriv
   pygsti.baseobjs.opcalc.slowopcalc.float_product



Attributes
~~~~~~~~~~

.. autoapisummary::

   pygsti.baseobjs.opcalc.slowopcalc.bulk_eval_compact_polynomials_real
   pygsti.baseobjs.opcalc.slowopcalc.bulk_eval_compact_polynomials_complex
   pygsti.baseobjs.opcalc.slowopcalc.bulk_eval_compact_polynomials_derivs_real
   pygsti.baseobjs.opcalc.slowopcalc.bulk_eval_compact_polynomials_derivs_complex


.. py:data:: bulk_eval_compact_polynomials_real

   

.. py:data:: bulk_eval_compact_polynomials_complex

   

.. py:data:: bulk_eval_compact_polynomials_derivs_real

   

.. py:data:: bulk_eval_compact_polynomials_derivs_complex

   

.. py:function:: abs_sum_bulk_eval_compact_polynomials_complex(vtape, ctape, paramvec, dest_size, **kwargs)

   Equivalent to np.sum(np.abs(bulk_eval_compact_polynomials_complex(.)))


.. py:function:: compact_deriv(vtape, ctape, wrt_params)

   Take the derivative of one or more compact Polynomials with respect
   to one or more variables/parameters.

   Parameters
   ----------
   vtape, ctape : numpy.ndarray
       Specifies "variable" and "coefficient" 1D numpy arrays to differentiate.
       These "tapes" can be generated by concatenating the tapes of individual
       complact-polynomial tuples returned by :meth:`Polynomial.compact`.

   wrt_params : list
       The variable indices to differentiate with respect to.  They
       must be sorted in ascending order. E.g. "[0,3]" means separatey
       differentiate w.r.t x_0 and x_3 (concatenated first by wrt_param
       then by poly).

   Returns
   -------
   vtape, ctape : numpy.ndarray


.. py:function:: float_product(ar)