Initializing help system before first use

# problem.bndsa

Purpose
This subroutine is deprecated and will be removed in a future release. Use problem.bndSA instead.
Returns upper and lower sensitivity ranges for specified variables' lower and upper bounds. If the bounds are varied within these ranges the current basis remains optimal and feasible.
Synopsis
`problem.bndsa(colind, lblower=None, lbupper=None, ublower=None, ubupper=None)`
Arguments

colind | A list or NumPy array of the variables (or their indices or names), for which the sensitivity range is requested.
lblower | Array (to be passed as a list, possibly empty) that will contain the variable lower bound lower ranges.
lbupper | Array for the variable lower bound upper ranges.
ublower | Array for the variable upper bound lower ranges.
ubupper | Array for the variable upper bound upper ranges.

Example

    p = xp.problem()
    x = p.addVariables(10)
    [...]
    ll, lu, ul, uu = [], [], [], []
    p.bndsa(x, ll, lu, ul, uu)
    print("ranges:", ll, lu, ul, uu)

Further information
problem.bndsa can only be called when an optimal solution to the current LP has been found. It cannot be used when the problem is MIP presolved.
Related topics
problem.bndSA, problem.rhsSA, problem.objSA.
Parent Topic Deprecated functionality

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