Linear Programming
Uttarakhand Board · Class 12 · Mathematics
Quick revision notes for Linear Programming — Uttarakhand Board Class 12 Mathematics. Key concepts, formulas, and definitions for last-minute revision.
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Introduction and Basic Concepts
- Linear Programming Problems arise from real-world optimization situations
- These problems involve finding maximum profit, minimum cost, or optimal resource allocation
- The furniture dealer example: maximizing profit from buying tables and chairs with limited money and storage
Mathematical Formulation
- Decision variables represent the quantities to be determined (x and y)
- Objective function is the linear function to be optimized
- Constraints are linear inequalities that limit the feasible solutions
Graphical Method of Solution
- Graph each constraint as a line and identify the feasible half-plane
- The feasible region is the intersection of all constraint half-planes
- Corner points (vertices) of the feasible region are potential optimal solutions
Corner Point Method
- Step 1: Find the feasible region and identify all corner points
- Step 2: Evaluate the objective function at each corner point
- Step 3: Select the corner point giving maximum/minimum value as required
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