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Linear Programming
Also known as: LP, optimization with constraints
Grade 9-12
View on concept mapLinear programming optimizes a linear objective subject to linear inequality or equality constraints. Linear programming is used in scheduling, logistics, budgeting, and resource allocation worldwide.
Definition
Linear programming optimizes a linear objective subject to linear inequality or equality constraints.
๐ก Intuition
You search the corners of an allowed region for the best score.
๐ฏ Core Idea
The optimal solution to a linear program always occurs at a vertex (corner point) of the feasible region โ never in the interior.
Example
Formula
Notation
max z or min z with linear constraints.
๐ Why It Matters
Linear programming is used in scheduling, logistics, budgeting, and resource allocation worldwide.
๐ญ Hint When Stuck
Graph constraints first, shade the feasible region, then test corner points.
Formal View
Related Concepts
๐ง Common Stuck Point
Students optimize outside the feasible region or forget to include all constraints when finding corner points.
โ ๏ธ Common Mistakes
- Testing random interior points instead of vertices
- Reversing inequality directions when graphing constraints
Go Deeper
Frequently Asked Questions
What is Linear Programming in Math?
Linear programming optimizes a linear objective subject to linear inequality or equality constraints.
Why is Linear Programming important?
Linear programming is used in scheduling, logistics, budgeting, and resource allocation worldwide.
What do students usually get wrong about Linear Programming?
Students optimize outside the feasible region or forget to include all constraints when finding corner points.
What should I learn before Linear Programming?
Before studying Linear Programming, you should understand: inequalities, systems of equations, constraint system.
Prerequisites
Cross-Subject Connections
How Linear Programming Connects to Other Ideas
To understand linear programming, you should first be comfortable with inequalities, systems of equations and constraint system.