Solution of Linear Programming Problems
Solution of Linear Programming Problems: Overview
This topic covers concepts such as Optimisation Problem, Solutions of a Linear Programming Problem, Graphical Method of Solving Linear Programming Problems, and Feasible Region of a Linear Programming Problem.
Important Questions on Solution of Linear Programming Problems
The feasible region in LPP is always

What are conflicting constraints. Show that the LPP in which the objective function is to be minimized subject to the constraints and has infinitely many optimal solutions.

What are conflicting constraints.
Show that the LPP of which two constraints are and has no optimal solution.
What are conflicting constraints. Show that if each of the infinitely many optimal solutions of an LPP with objective function , lies on the line with .

What are conflicting constraints. Find optimal solution of the following LPP, Maximize subject to , where .

What are conflicting constraints.
Show that the optimal solution of the following LPP
Maximize
Subject to, ,
,
lies on the straight line .

Solve , subject to , , , graphically. Check whether it has feasible or infeasible solution.

Solve , subject to , , , graphically. Check whether it has feasible or infeasible solution.

Solve , subject to , , , graphically. Check whether it has feasible or infeasible solution.

Solve , subject to , , , graphically. Check whether it has feasible or infeasible solution.

Solve , subject to , , , graphically. Check whether it has feasible or infeasible solution.

Check if , subject to , , , has feasible or infeasible solution graphically.

If and then least possible value of is

Solution of the LPP Min. subject to: is

The coordinates of the corner points of the bounded feasible region are and . the maximum of objective function is

For the following linear programming problem, find the minimum value of , where constraints are

The region of feasible solution under the constraints is:

Solve the following problem graphically :
Minimise and Maximise
Subject to the constraints :
.

For the following linear programming problem:
Objective function:
Subject to:
The maximum value of is

For the following linear programming problem.
and .
