More updates to the text of the example.

docs/source/user_libs_opt_taguchi.rst

@@ -114,11 +114,11 @@ The bowtie design features 3 vertical slots (y-direction) in each arm of the bow
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-The first part of the input file (lines 1-7) contains the parameters to optimise, their initial ranges, and fitness function information for the optimisation process. Three parameters representing the resistor values are defined with ranges between 0.1:math:`~\Omega` and 5:math:`~k\Omega`. A fitness function called ``maxvalue`` with a stopping criterion of 50V/m. The output point in the model that will be used in the optimisation is specified as the one with the name ``Ex60mm``. Finally a limit of 5 iterations is placed on the optimisation process, i.e. it will stop after 5 iterations irrespectively of whether it has reached the target of 50V/m.
+The first part of the input file (lines 1-7) contains the parameters to optimise, their initial ranges, and fitness function information for the optimisation process. Three parameters representing the resistor values are defined with ranges between 0.1 :math:`\Omega` and 5 :math:`k\Omega`. A fitness function called ``maxvalue`` with a stopping criterion of 50V/m. The output point in the model that will be used in the optimisation is specified as having the name ``Ex60mm``. Finally, a limit of 5 iterations is placed on the optimisation process, i.e. it will stop after 5 iterations irrespectively of whether it has reached the target of 50V/m.
 
-The next part of the input file (lines 9-93) contains the model. For the most part there is nothing special about the way the model is defined - a mixture of Python and functional forms of the input commands (available by importing the module ``input_cmd_funcs``) are used. However, it is worth pointing out how the values of the parameters to optimise are accessed. On line 29 a NumPy of the values of the resistors is created. The values are accessed using their names as keys to the ``optparams`` dictionary. On line 30 the values of the resistors are converted to conductivities, which are used to create new materials (line 34-35). The resistors are then built by applying the materials to cell edges (e.g. lines 55-62).
+The next part of the input file (lines 9-93) contains the model. For the most part there is nothing special about the way the model is defined - a mixture of Python, NumPy and functional forms of the input commands (available by importing the module ``input_cmd_funcs``) are used. However, it is worth pointing out how the values of the parameters to optimise are accessed. On line 29 a NumPy array of the values of the resistors is created. The values are accessed using their names as keys to the ``optparams`` dictionary. On line 30 the values of the resistors are converted to conductivities, which are used to create new materials (line 34-35). The resistors are then built by applying the materials to cell edges (e.g. lines 55-62). The output point in the model in specifed with the name ``Ex60mm`` and as having only an ``Ex`` field output (line 42).
 
-The optimisation process is run using:
+The optimisation process is run on the model using the ``--opt-taguchi`` command line flag:
 
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