MPP Maximum Iterations |
This parameter represents the maximum number of iterations that are
run to search for the Most Probable Point (MPP) for each response with
limits defined. MPP is the solution of the FORM minimization (i.e., the
most likely failure point for a given response). |
Finite Difference Step Size |
This parameter sets the relative finite difference step size to be used
by the reliability method when calculating gradients. The default value
is 0.01 (1%). |
Minimum Finite Difference Step |
This parameter represents the minimum absolute finite difference step
size to be used by the reliability analysis method when calculating gradients.
The default value is 0.001 (0.1%). |
MPP Absolute Convergence |
This parameter represents the maximum absolute change in the value of
the distance from a constraint surface between two consecutive iterations
of the MPP search. For example, if you wanted the search process to stop
if the change in the distance from a constraint went below 0.01, you
would enter 0.01. The default is 0.0001. |
MPP Relative Convergence |
This parameter represents the maximum relative change in the value of
the distance from a constraint surface during the MPP search. The default
is 0.001. |