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

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

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 If this "Step-by-Step" guide helped you, please LIKE, SHARE, and SUBSCRIBE for more simplified math and tech tutorials! Stay Connected: #TechOnlinewithPeace #LPP #Minimization #GraphicalMethod #LinearProgramming #Optimization #MathTutorials