Linear Programming refers to those programming models which are used in determining an optimum schedule of interdependent activities in view of the available resources’. They are scientific or mathematical techniques which are used to allocate the limited recourses among the competitive activities so as to optimize the given objective . Linear programming (LP) is a mathematical method for determining a way to achieve the best outcome (such as maximum profit or lowest cost) in a given mathematical model for some list of requirements represented as linear equations. More formally, linear programming is a technique for the optimization of a linear objective function, subject to linear equality and linear inequality constraints. Linear programming can be applied to various fields of study. It is used most extensively in business and economics, but can also be utilized for some engineering problems. Industries that use linear programming models include transportation, energy, telecommunications, and manufacturing. It has proved useful in modeling diverse types of problems in planning, routing, scheduling, assignment, and design.

This course will help in understanding:

Solution of Linear Programming Problem using Simplex Method

Depth Study of Simplex Method and mechanism of solving it effectively

Solution of Maximization case and Minimization case

Solving Linear Programming Problems using Big-M Method and Two Phase Method

Usage of Artificial Variables in Simplex Method

Concept of Non Feasible Solution and Unbounded Solution