Simplex Method in Linear Programming
Simplex Method in Linear Programming
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
Mechanism of Solving Linear Programming Problem using Simplex Method
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What you will learn
- Methodology of Linear Programming Problems
- Maximization of Profits using Simplex Method
- Minimization of Costs using Big-M Method & Two Phase Method
Rating: 4.5
Level: All Levels
Duration: 3.5 hours
Instructor: Dr.Himanshu Saxena
Courses By: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
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