From: Jean-Philippe ARGAUD Date: Mon, 19 Nov 2012 09:17:59 +0000 (+0100) Subject: Correcting exponents and ambiguous names in doc X-Git-Tag: V6_6_0~2 X-Git-Url: http://git.salome-platform.org/gitweb/?a=commitdiff_plain;h=2dfcde053ac9775f931f9df9accf06eab0721635;p=modules%2Fadao.git Correcting exponents and ambiguous names in doc --- diff --git a/doc/reference.rst b/doc/reference.rst index e1adc70..27717f0 100644 --- 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 - 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 - 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 - 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 @@ -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 - 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 - 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 - 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 @@ -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 - 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