Correcting exponents and ambiguous names in doc

diff --git a/doc/reference.rst b/doc/reference.rst
index e1adc70f020d7fc2253aa6d928d9c55b1e529a15..27717f0d6268b798d60b7d095d50712f1f8f4051 100644 (file)
--- a/doc/reference.rst
+++ b/doc/reference.rst
@@ -350,21 +350,21 @@ in the :ref:`genindex` or the :ref:`section_glossary`.
   CostDecrementTolerance
     This key indicates a limit value, leading to stop successfully the
     iterative optimization process when the cost function decreases less than
   CostDecrementTolerance
     This key indicates a limit value, leading to stop successfully the
     iterative optimization process when the cost function decreases less than

-    this tolerance at the last step. The default is 10e-7, and it is
-    recommended to adapt it the needs on real problems.
+    this tolerance at the last step. The default is 1.e-7, and it is
+    recommended to adapt it to the needs on real problems.

 
   ProjectedGradientTolerance
     This key indicates a limit value, leading to stop successfully the iterative
     optimization process when all the components of the projected gradient are
 
   ProjectedGradientTolerance
     This key indicates a limit value, leading to stop successfully the iterative
     optimization process when all the components of the projected gradient are

-    under this limit. It is only used for constrained algorithms. The default is
-    -1, that is the internal default of each algorithm (generally 1.e-5), and it
+    under this limit. It is only used for constrained minimizers. The default is
+    -1, that is the internal default of each minimizer (generally 1.e-5), and it

     is not recommended to change it.
 
   GradientNormTolerance
     This key indicates a limit value, leading to stop successfully the
     iterative optimization process when the norm of the gradient is under this
     is not recommended to change it.
 
   GradientNormTolerance
     This key indicates a limit value, leading to stop successfully the
     iterative optimization process when the norm of the gradient is under this

-    limit. It is only used for non-constrained algorithms.  The default is
-    10e-5 and it is not recommended to change it.
+    limit. It is only used for non-constrained minimizers.  The default is
+    1.e-5 and it is not recommended to change it.

 
   StoreInternalVariables
     This boolean key allows to store default internal variables, mainly the
 
   StoreInternalVariables
     This boolean key allows to store default internal variables, mainly the


@@ -406,21 +406,21 @@ in the :ref:`genindex` or the :ref:`section_glossary`.
   CostDecrementTolerance
     This key indicates a limit value, leading to stop successfully the
     iterative optimization process when the cost function decreases less than
   CostDecrementTolerance
     This key indicates a limit value, leading to stop successfully the
     iterative optimization process when the cost function decreases less than

-    this tolerance at the last step. The default is 10e-7, and it is
-    recommended to adapt it the needs on real problems.
+    this tolerance at the last step. The default is 1.e-7, and it is
+    recommended to adapt it to the needs on real problems.

 
   ProjectedGradientTolerance
     This key indicates a limit value, leading to stop successfully the iterative
     optimization process when all the components of the projected gradient are
 
   ProjectedGradientTolerance
     This key indicates a limit value, leading to stop successfully the iterative
     optimization process when all the components of the projected gradient are

-    under this limit. It is only used for constrained algorithms. The default is
-    -1, that is the internal default of each algorithm (generally 1.e-5), and it
+    under this limit. It is only used for constrained minimizers. The default is
+    -1, that is the internal default of each minimizer (generally 1.e-5), and it

     is not recommended to change it.
 
   GradientNormTolerance
     This key indicates a limit value, leading to stop successfully the
     iterative optimization process when the norm of the gradient is under this
     is not recommended to change it.
 
   GradientNormTolerance
     This key indicates a limit value, leading to stop successfully the
     iterative optimization process when the norm of the gradient is under this

-    limit. It is only used for non-constrained algorithms.  The default is
-    10e-5 and it is not recommended to change it.
+    limit. It is only used for non-constrained minimizers.  The default is
+    1.e-5 and it is not recommended to change it.

 
   StoreInternalVariables
     This boolean key allows to store default internal variables, mainly the
 
   StoreInternalVariables
     This boolean key allows to store default internal variables, mainly the


@@ -519,8 +519,8 @@ in the :ref:`genindex` or the :ref:`section_glossary`.
   CostDecrementTolerance
     This key indicates a limit value, leading to stop successfully the
     iterative optimization process when the cost function or the surrogate
   CostDecrementTolerance
     This key indicates a limit value, leading to stop successfully the
     iterative optimization process when the cost function or the surrogate

-    decreases less than this tolerance at the last step. The default is 10e-6,
-    and it is recommended to adapt it the needs on real problems.
+    decreases less than this tolerance at the last step. The default is 1.e-6,
+    and it is recommended to adapt it to the needs on real problems.

 
   StoreInternalVariables
     This boolean key allows to store default internal variables, mainly the
 
   StoreInternalVariables
     This boolean key allows to store default internal variables, mainly the