Linear Programm...

In Corner point method for solving a linear programming problem the second step after finding the feasible region of the linear programming problem and determining its corner points is

In Corner point method for solving a linear programming problem one finds the feasible region of the linear programming problem ,determines its corner points and evaluates the objective function Z = ax + by at each corner point. If M and m respectively be the largest and smallest values at corner points then

In Corner point method for solving a linear programming problem one finds the feasible region of the linear programming problem ,determines its corner points and evaluates the objective function Z = ax + by at each corner point. Let M and m respectively be the largest and smallest values at corner points. In case feasible region is unbounded, M is the maximum value of the objective function if

In Corner point method for solving a linear programming problem one finds the feasible region of the linear programming problem ,determines its corner points and evaluates the objective function Z = ax + by at each corner point. Let M and m respectively be the largest and smallest values at corner points. In case feasible region is unbounded, m is the minimum value of the objective function

If two corner points of the feasible region are both optimal solutions of the same type, i.e., both produce the same maximum or minimum.

In a LPP, the objective function is always

The optimal value of the objective function Z = ax + by may or may not exist, if the feasible region for a LPP is

In an LPP if the objective function Z = ax + by has the same maximum value on two corner points of the feasible region, then every point on the line segment joining these two points give the same

In linear programming problems the function whose maxima or minima are to be found is called

In linear programming problems the optimum solution