Linear Programming Maximization Problem with 3 Constraints - Graphical Method

In this video, we will learn how to solve a linear programming problem with a maximization objective and three constraints using the graphical method. Linear programming is an essential tool for decision-making in many fields, including business, economics, and engineering.
I will start by understanding the basics of linear programming and then, we will move on to graphing the constraints and finding the feasible region. I will also explain the concept of the objective function and how to optimize it within the feasible region.
Throughout the video ,I will use clear and concise explanations with easy-to-follow examples to ensure that students can understand and apply the techniques discussed.
Whether you are a student learning about linear programming for the first time or someone who needs a refresher, this video is perfect for you. Watch and learn how to solve linear programming maximization problems with three constraints using the graphical method.

Playlist Of LPP :
1. Formation of LPP ( Maximization Case )

Graphical Method In Linear Programming Problem , LPP Maximization case ,
Graphical Method Maximization case , LPP with 3 constraints

[ashudhingra]

Students last pe jb x1 ki value 2 hai or x2 ki value 4 hai tb hmara profit maximum aa rha hai 28 . Maine glti se jb x1 ki value 4 hai or x2 ki value 2 hai tb unka total 28 le liya tb total 26 hai . I hope appko smj aa gya hoga