r8492 - in /1.3: generic_fns/ specific_fns/ specific_fns/model_free/ -- January 15, 2009 - 20:10

Author: semor
Date: Thu Jan 15 20:10:18 2009
New Revision: 8492

URL: http://svn.gna.org/viewcvs/relax?rev=8492&view=rev
Log:
Corrected mistakes in English.


Modified:
    1.3/generic_fns/minimise.py
    1.3/specific_fns/model_free/mf_minimise.py
    1.3/specific_fns/n_state_model.py
    1.3/specific_fns/relax_fit.py

Modified: 1.3/generic_fns/minimise.py
URL: 
http://svn.gna.org/viewcvs/relax/1.3/generic_fns/minimise.py?rev=8492&r1=8491&r2=8492&view=diff
==============================================================================
--- 1.3/generic_fns/minimise.py (original)
+++ 1.3/generic_fns/minimise.py Thu Jan 15 20:10:18 2009
@@ -192,10 +192,10 @@
     @type min_algor:        str
     @param min_options:     An array of options to be used by the 
minimisation algorithm.
     @type min_options:      array of str
-    @param func_tol:        The function tolerence which, when reached, 
terminates optimisation.
+    @param func_tol:        The function tolerance which, when reached, 
terminates optimisation.
                             Setting this to None turns of the check.
     @type func_tol:         None or float
-    @param grad_tol:        The gradient tolerence which, when reached, 
terminates optimisation.
+    @param grad_tol:        The gradient tolerance which, when reached, 
terminates optimisation.
                             Setting this to None turns of the check.
     @type grad_tol:         None or float
     @param max_iterations:  The maximum number of iterations for the 
algorithm.

Modified: 1.3/specific_fns/model_free/mf_minimise.py
URL: 
http://svn.gna.org/viewcvs/relax/1.3/specific_fns/model_free/mf_minimise.py?rev=8492&r1=8491&r2=8492&view=diff
==============================================================================
--- 1.3/specific_fns/model_free/mf_minimise.py (original)
+++ 1.3/specific_fns/model_free/mf_minimise.py Thu Jan 15 20:10:18 2009
@@ -722,10 +722,10 @@
         @type min_algor:            str
         @keyword min_options:       An array of options to be used by the 
minimisation algorithm.
         @type min_options:          array of str
-        @keyword func_tol:          The function tolerence which, when 
reached, terminates optimisation.
+        @keyword func_tol:          The function tolerance which, when 
reached, terminates optimisation.
                                     Setting this to None turns of the check.
         @type func_tol:             None or float
-        @keyword grad_tol:          The gradient tolerence which, when 
reached, terminates optimisation.
+        @keyword grad_tol:          The gradient tolerance which, when 
reached, terminates optimisation.
                                     Setting this to None turns of the check.
         @type grad_tol:             None or float
         @keyword max_iterations:    The maximum number of iterations for the 
algorithm.

Modified: 1.3/specific_fns/n_state_model.py
URL: 
http://svn.gna.org/viewcvs/relax/1.3/specific_fns/n_state_model.py?rev=8492&r1=8491&r2=8492&view=diff
==============================================================================
--- 1.3/specific_fns/n_state_model.py (original)
+++ 1.3/specific_fns/n_state_model.py Thu Jan 15 20:10:18 2009
@@ -1187,10 +1187,10 @@
         @type min_algor:        str
         @param min_options:     An array of options to be used by the 
minimisation algorithm.
         @type min_options:      array of str
-        @param func_tol:        The function tolerence which, when reached, 
terminates optimisation.
+        @param func_tol:        The function tolerance which, when reached, 
terminates optimisation.
                                 Setting this to None turns of the check.
         @type func_tol:         None or float
-        @param grad_tol:        The gradient tolerence which, when reached, 
terminates optimisation.
+        @param grad_tol:        The gradient tolerance which, when reached, 
terminates optimisation.
                                 Setting this to None turns of the check.
         @type grad_tol:         None or float
         @param max_iterations:  The maximum number of iterations for the 
algorithm.

Modified: 1.3/specific_fns/relax_fit.py
URL: 
http://svn.gna.org/viewcvs/relax/1.3/specific_fns/relax_fit.py?rev=8492&r1=8491&r2=8492&view=diff
==============================================================================
--- 1.3/specific_fns/relax_fit.py (original)
+++ 1.3/specific_fns/relax_fit.py Thu Jan 15 20:10:18 2009
@@ -591,10 +591,10 @@
         @type min_algor:            str
         @keyword min_options:       An array of options to be used by the 
minimisation algorithm.
         @type min_options:          array of str
-        @keyword func_tol:          The function tolerence which, when 
reached, terminates optimisation.
+        @keyword func_tol:          The function tolerance which, when 
reached, terminates optimisation.
                                     Setting this to None turns of the check.
         @type func_tol:             None or float
-        @keyword grad_tol:          The gradient tolerence which, when 
reached, terminates optimisation.
+        @keyword grad_tol:          The gradient tolerance which, when 
reached, terminates optimisation.
                                     Setting this to None turns of the check.
         @type grad_tol:             None or float
         @keyword max_iterations:    The maximum number of iterations for the 
algorithm.