[PDF] basic feasible solution in lpp

In the theory of linear programming, a basic feasible solution (BFS) is a solution with a minimal set of non-zero variables. Geometrically, each BFS corresponds to a corner of the polyhedron of feasible solutions.
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  • What is the basic feasible solution of the equation?

    basic feasible solutions (BFS): a basic solution that is feasible.
    That is Ax = b, x ? 0 and x is a basic solution.
    The feasible corner-point solutions to an LP are basic feasible solutions.

  • How do you find the initial basic feasible solution in LPP?

    Methods of finding initial Basic Feasible Solutions

    1Method:1North-West Corner Rule (NWC)2Method:2 Least Cost Method (LCM)3Method:3.
    Vogel's Approximation Method(VAM)

  • How do you find the initial basic feasible solution in LPP?

    In basic feasible solution, the basic variables are slack variables. The Z value, i. e. profit value of that table is zero. Optimal solution means the last table of simplex.
    In this table, all “C – Z (delta)” values, i. e. opportunity costs are either zero or negative.

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