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    enamel's Avatar
    enamel Posts: 1, Reputation: 1
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    #1

    Mar 17, 2011, 07:15 AM
    What make solution degerate in linear programming
    smoothy's Avatar
    smoothy Posts: 25,492, Reputation: 2853
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    #2

    Mar 17, 2011, 08:08 AM

    Homework rules...

    https://www.askmehelpdesk.com/financ...-b-u-font.html
    galactus's Avatar
    galactus Posts: 2,271, Reputation: 282
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    #3

    Mar 18, 2011, 05:50 PM

    When a tie happens at least one basic variable will be zero in

    the next iteration and the new solution is called 'degenerate'.

    Say we wanted to maximize

    s.t.





    I am not going to write up the tableau. Maybe you can do that if you wish to see what I am getting at.

    In the starting iteration, tie for the leaving variable. This is the reason the basic variable, , is 0 in iteration 1, thus resulting in a degenerate basic solution. The optimum is reached after an additional iteration is carried out.

    Graphically, three lines may pass through the optimum point. Because it is a 2-dimensional problem, the point is overdetermined and one of the constraints is redundant.
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    bkzd1989's Avatar
    bkzd1989 Posts: 2, Reputation: 1
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    #4

    Oct 16, 2013, 06:23 AM
    How am I going to go about solving this with only a singular constraint and an unknown?

    Refer to the following LP Formulation with unknown number S:

    Max x1+x2

    S.t

    Sx1+x2 <= 1 x1,x2 => 0

    How do I identify the unknown S to

    (a) Having an optimal solution (b) Being infeasible (c) Being Unbound

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