From: Michael Hennebry <address@hidden>
To: RC Loh <address@hidden>
Cc: Andrew Makhorin <address@hidden>; Jeffrey Kantor <address@hidden>; address@hidden
Sent: Wednesday, 2 December 2009 2:03:00
Subject: Re: [Help-glpk] Linear Programming Relaxation
On Tue, 1 Dec 2009, RC Loh wrote:
> Thank you for your suggestion. I am currently reading up on SOS1 and see whether it is applicable to my problem.
It is.
> According to Andrew, the SOS1 is implemented by a version of Simplex Method.
> Then what is the difference between using SOS1 with the Simplex Method compared to using Integer Programming?
> Integer Programming
is also using the Simplex Method, isn't it?
Here be much conflation of problem type and solution method.
Integer programming is the solving of optimization problems
all of whose variables are required to be integers.
Mixed integer programming allows some variables to be real.
In either case, a simplex method might or might not be used.
SOS1 is a type of constraint.
It makes the feasible set non-convex.
Simplex methods find local optima.
That is global for a minimization problem
with a convex (e.g. linear) objective function.
It might not be good enough for a problem with an SOS constraint.
-- Michael
address@hidden"Pessimist: The glass is half empty.
Optimist: The glass is half full.
Engineer: The glass is twice as big as it needs to be."