basic feasible solution in lpp

Theorem A 1 The basic solution corresponding to an optimal basis is the optimal solution of linear programming (P) The simplex method for linear programming  

basic feasible solution: put the slack variables on the left hand side How- ever, this is not always the case, especially for minimization problems, or problems 

Feasible solution to a L P P: A set of values of the variables, which satisfy all the constraints and all the non-negative restrictions of the variables, is known as the feasible solution (F S ) to the L P P

(That is, columns of A corresponding to non-zero variables xi are linearly independent ) (2) A basic solution satisfying x ⩾ 0 is called a basic feasible solution (BFS) 

Glossary of terms Basic feasible solutions: A basic solution which is nonnegative Basic solution: For a canonical form linear program (see below), a basic solution  

2 oct 2014 · Finding an initial basic feasible solution an associate basis is called Phase I of the simplex method Finding an optimal solution given the initial 

limited and restrictive; as we will see later, however, any linear programming In the example above, the basic feasible solution x1 = 6, x2 = 4, x3 = 0, x4 = 0, 

The problem of linear programming is to find out the best solution that satisfy This is a basic feasible solution that has got exactly positive Optimal solution

A basic feasible solution to an L P P must correspond to an extreme point of the set of all feasible solutions and conversely Proof Let the L P P be : Maximize

Definition 3 A basic feasible solution is degenerate if there are more than n tight constraints We say that a linear programming problem is degenerate if it contains