TaoEstimateActiveBounds#
Generates index sets for variables at the lower and upper bounds, as well as fixed variables where lower and upper bounds equal each other.
Synopsis#
Input Parameters#
- X - solution vector 
- XL - lower bound vector 
- XU - upper bound vector 
- G - unprojected gradient 
- S - step direction with which the active bounds will be estimated 
- W - work vector of type and size of - X
- steplen - the step length at which the active bounds will be estimated (needs to be conservative) 
Output Parameters#
- bound_tol - tolerance for the bound estimation 
- active_lower - index set for active variables at the lower bound 
- active_upper - index set for active variables at the upper bound 
- active_fixed - index set for fixed variables 
- active - index set for all active variables 
- inactive - complementary index set for inactive variables 
Notes#
This estimation is based on Bertsekas’ method, with a built in diagonal scaling value of 1.0e-3.
See Also#
Level#
developer
Location#
Index of all Tao routines
Table of Contents for all manual pages
Index of all manual pages