lpp graphical feasible region

Graphical Method of Solution of a Linear Programming Problem - So far we have learnt how to construct a mathematical model for a linear programming problem. If we can find the values of the decision variables x 1 , x 2 , x 3 , ..... x n , which can optimise (maximize or minimize) the obje..

So far we have learnt how to construct a mathematical model for a linear programming problem. If we can find the values of the decision variables x 1 , x 2 , x 3 , ..... x n , which can optimise (maximize or minimize) the objective function Z, then we say that these values of x i are the optimal so..

The graphical method is applicable to solve the LPP involving two decision variables x 1 , and x 2 , we usually take these decision variables as x, y instead of x 1 , x 2 . To solve an LPP , the graphical method includes two major steps. a) The de..

The optimal solution to a LPP, if it exists, occurs at the corners of the feasible region. The method includes the following st..

We may come across LPP which may have no feasible (infeasible) solution or may have unbounded solution. We conclude the chapter by giving one example for each of these exceptional cas..

We may come across LPP which may have no feasible (infeasible) solution or may have unbounded solution. If the intersection of the constraints is empty and the problem has no feasible solution. Therefore the given L.P.P has no solutio..

Find the feasible region of the LL..

Which of the following is the graph of a linear system of constraints? => the feasible region or the constraint region or the linear graph or the linear region..

Which of the following is the graph of a linear system of constraints? => The linear graph or The linear region or The feasible region or The constraint region..

1 , x 2 , x 3 ,.,x n which satisfy all the constraints and also the non-negativity conditions is called the feasible solution of the LPP. Optimal Solution: The feasible solution, which optimises (i.e., maximizes or minimizes as the case may be) the objective ..