Graphical Method in Linear Programming: Minimization with 2 Constraints - Step-by-Step (Lec 2)

Описание: In this second lecture of our Linear Programming series, we dive deep into the Graphical Method for Minimization problems. Learn how to accurately solve LPP minimization cases with 2 constraints, identify the unbounded or bounded feasible regions, and find the minimum optimal value.

🔗 Full Course Playlist:    • Linear Programming (LPP) Full Course: Step...  

📌 Video Chapters:
0:00 - Introduction to Minimization in LPP
0:10 - Defining the Objective Function (Min Z)
6:20 - Plotting Minimization Constraints (≥ signs)
7:50 - Identifying the Feasible Region for Minimization
8:40 - How to Find Corner Points (Extreme Points)
10:20 - Testing Corner Points for Minimum Value
11:29 - Final Solution & Conclusion

What You Will Learn: ✔ How to handle "Greater than or equal to" (≥) constraints

✔ Identifying the Unbounded Feasible Region common in minimization

✔ Step-by-step calculation of the Minimum Cost/Value ✔ Plotting lines and finding intersections accurately

This lecture is ideal for: • University students studying Operations Research / Management Science

• Engineering & Mathematics students

• Data Science enthusiasts looking at optimization foundations

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