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