recommended to adapt it 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, and it
+ 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
is not recommended to change it.
GradientNormTolerance
recommended to adapt it 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, and it
+ 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
is not recommended to change it.
GradientNormTolerance