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.
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