Formulating a LPP [Hinglish] | Linear programming | Grade 12 | Math | Khan Academy

From the creator

This video focuses on how to translate real-world optimization problems into the mathematical language of a Linear Programming Problem (LPP). We'll start with a furniture dealer problem, identifying the objective function (e.g., maximizing profit), decision variables (e.g., number of tables and chairs), and constraints (e.g., budget and storage). We'll then formulate a second example, a diet problem, which involves minimizing cost while meeting nutritional requirements. Courses on Khan Academy are always 100% free. Start practicing—and saving your progress—now! (https://www.khanacademy.org/math/ncert-class-12/x7ce8ca9c5869750b:linear-programming-ncert-new/x7ce8ca9c5869750b:linear-prgramming-problems-and-its-mathematical-formulation/e/linear-programming-12-2) Timestamps: 00:00 Introduction: How to formulate a real-world problem mathematically 00:30 Example 1: The Furniture Dealer problem (Maximization) 00:40 Identifying Objective Function, Decision Variables, and Constraints 01:20 Translating the Furniture Dealer problem into mathematical inequalities 04:10 Example 2: The Diet Problem (Minimization) and its mathematical formulation Khan Academy India is a nonprofit organization with the mission of providing a free, world-class education for anyone, anywhere. We have videos and exercises that have been translated into multiple Indian languages, and 15 million people around the globe learn on Khan Academy every month. Support Us: https://india.khanacademy.org/donate Created

Published 2025-06-04 · Watch on YouTube ↗
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