Solution of Linear Programming Problems
Solution of Linear Programming Problems: Overview
This topic covers concepts, such as Conflicting Constraints, Feasible Solutions to a Linear Programming Problem, Optimal Solution when Feasible Region Is Unbounded, Bounded Feasible Regions, Solutions of a Linear Programming Problem, etc.
Important Questions on Solution of Linear Programming Problems
Which one of the following is infeasible solution to the linear programming problem (LPP), whose feasible region is given by:

A company produces two types of goods, and , that require gold and silver. Each unit of type requires of silver and of gold, while that of type requires of silver and of gold. The company can use at the most of silver and of gold. If each unit of type brings a profit of and that of type , find the number of units of each type that the company should produce to maximize the profit. Formulate and solve graphically the LPP and find the maximum profit.

An infeasible solution would occur when:

An iso-profit line represents:

Define convex set.

What is meant by convex set?

Find the vertices of feasible region.
, and

Find the vertices of feasible region.
, and

Solve the following
Min

Solve the following .
Max
Subject to

Solve the following .
Max

Unbounded feasible region will have both maximum value or minimum value for the objective function of a linear programming problem.

Define unbounded feasible region in linear programming.

If the feasible region of a linear programming problem can be circumscribed, then it is called unbounded feasible region.

Define bounded feasible region.

Define feasible region in linear programming problem.

State the Convex polygon theorem.
Find convex region from the following figures.
The corner points of the feasible region determined by the following system of linear inequalities:
are and
Let where
Condition on and so that the maximum of occurs at both and is

The bounded feasible region for a linear programming problem (LPP) is given as below:
Which one of the following can be optimal solution for the given LPP.

Which one of the following is infeasible solution to the linear programming problem (LPP), whose feasible region is given by:

Find the maximum value of subject to constraints .
