Let’s discuss the assignment problem, perhaps one of the simplest network flow 
problems.  It is a zero-one (binary) integer program, and if you look at the 
literature at the formulation of the assignment problem, it always has an 
explicit constraint that the variables must be {0,1}.  It is considered to be 
an integer program.

If an interior point algorithm that follows the central path is used to solve 
the relaxation of an assignment problem, then often a non-integer solution is 
found because (usually) there are multiple optimum present.  [Using an 
extreme-point algorithm will, due to the totally unimodular nature of the 
basis, result in an integer solution.]  Point is that solving the assignment 
problem as an LP by itself is no guarantee that you solve the IP problem.

Because of that, in my opinion, the assignment problem is not an LP problem, it 
is an IP problem.

My larger point is that there are many problems that have an Integer 
Programming formulation, but can be solved in polynomial time.  Just because a 
problem can have an IP formulation does not mean it is NP-hard.

Not sure if this is the appropriate place to discuss this – by itself it does 
not have anything to do with GLPK.


From: [email protected] [mailto:[email protected]]
Sent: Monday, March 07, 2016 11:00 AM
To: Meketon, Marc
Cc: ΤΑΣΣΟΠΟΥΛΟΣ ΙΩΑΝΝΗΣ; [email protected]
Subject: Re: [Help-glpk] MIP problems

Network flow problems are LP, not MIP. Integer Programming is NP-Hard.

Giorgio

On 07 Mar 2016, at 23:46, Meketon, Marc 
<[email protected]<mailto:[email protected]>> wrote:

MIP problems are both.  Depends on the problem…  Network flow problems are MIP 
problems that are solved in polynomial time, and Knapsack problems are MIP 
problems which are NP-hard.

From: 
[email protected]<mailto:[email protected]>
 [mailto:[email protected]] On Behalf Of 
??SS??????S ?O????S
Sent: Monday, March 07, 2016 8:02 AM
To: [email protected]<mailto:[email protected]>
Subject: [Help-glpk] MIP problems

Hi to everyone,
I have been aware that MIP problems are NP-Complete or even NP-Hard.
Does any one know a reference (perhaps a published paper) in which it is proven 
that MIP problems are NP- Complete or NP- Hard?
Thank you very much for your time and for any answer.
Ioannis Tassopoulos

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