[PDF] basic feasible solution in lpp definition

Dans la théorie de la programmation linéaire, une solution réalisable de base est une solution avec un ensemble minimal de variables non nulles. Géométriquement, chaque BFS correspond à un coin du polyèdre des solutions réalisables. S'il existe Wikipédia (anglais)Questions d'autres utilisateurs
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  • What is a 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.
    If there exists an optimal solution, then there exists an optimal BFS.

  • What is called a basic feasible solution?

    Basic feasible solutions are of two types; (a) Degenerate: A basic feasible solution is called degenerate if value of at least one basic variable is zero. (b) Non-degenerate: A basic feasible solution is called 'non-degenerate' if all values of m basic variables are non-zero and positive.

  • What is called a basic feasible solution?

    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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