Linear Programming Formula
The Formula
When to use: You search the corners of an allowed region for the best score.
Quick Example
Notation
What This Formula Means
Linear programming optimizes a linear objective subject to linear inequality or equality constraints.
You search the corners of an allowed region for the best score.
Formal View
Worked Examples
Example 1
mediumSolution
- 1 Step 1: Identify the feasible region: the triangle with vertices (0,0), (4,0), (0,4).
- 2 Step 2: Evaluate z at each vertex: z(0,0) = 0, z(4,0) = 12, z(0,4) = 8.
- 3 Step 3: Maximum is z = 12 at (4, 0).
- 4 Check: The coefficient of x is larger, so the maximum favors x โ
Answer
Example 2
hardCommon Mistakes
- Testing random interior points instead of vertices
- Reversing inequality directions when graphing constraints
Why This Formula Matters
Linear programming is used in scheduling, logistics, budgeting, and resource allocation worldwide.
Frequently Asked Questions
What is the Linear Programming formula?
Linear programming optimizes a linear objective subject to linear inequality or equality constraints.
How do you use the Linear Programming formula?
You search the corners of an allowed region for the best score.
What do the symbols mean in the Linear Programming formula?
max z or min z with linear constraints.
Why is the Linear Programming formula important in Math?
Linear programming is used in scheduling, logistics, budgeting, and resource allocation worldwide.
What do students 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 the Linear Programming formula?
Before studying the Linear Programming formula, you should understand: inequalities, systems of equations, constraint system.