initial basic feasible solution simplex method


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The corresponding basic feasible solution is x = 0 z = b We use this to initialize the simplex algorithm The simplex method can be one of two possible results (note that the modi ed LP is never unbounded: since z 0 the objective function is bounded from below by 0 )

  • How to detect unboundedness with simplex method?

    Answer: none of them, x1 can grow without bound, and obj along with it. This is how we detect unboundedness with the simplex method. Clearly feasible: pick x0 large, x1 = 0 and x2 = 0. If optimal solution has obj = 0, then original problem is feasible. Final phase-I basis can be used as initial phase-II basis (ignoring x0 thereafter).

  • How do you determine if a solution is feasible or infeasible?

    Clearly feasible: pick x0 large, x1 = 0 and x2 = 0. If optimal solution has obj = 0, then original problem is feasible. Final phase-I basis can be used as initial phase-II basis (ignoring x0 thereafter). If optimal solution has obj < 0, then original problem is infeasible.

  • Where does the simplex method start?

    The simplex method begins at a corner point where all the main variables, the variables that have symbols such as x1, x2, x3 etc., are zero. It then moves from a corner point to the adjacent corner point always increasing the value of the objective function.

  • How do you initialize a simplex algorithm?

    The corresponding basic feasible solution is x = 0, z = b. We use this to initialize the simplex algorithm. The simplex method can be one of two possible results (note that the modi ed LP is never unbounded: since z 0, the objective function is bounded from below by 0.)

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