Math Problem Statement
Maximize C= 4x + 12y, Subject to 3x + 5y <= 12, 6x + 2y <= 10, x >= 0, y >= 0
Solution
We are tasked with maximizing the objective function:
subject to the constraints:
Step 1: Identify the constraints
We need to convert the inequalities into equations for the boundary lines and then identify the feasible region formed by these constraints.
- — Constraint 1
- — Constraint 2
- — Non-negativity constraints.
Step 2: Find the intersection points
Let's find the points of intersection between the constraints by solving the system of equations:
Intersection of and :
Multiply the second equation by 2 to eliminate :
Now subtract the first equation:
Solve for :
Substitute into or simplify intersection.
Ask a new question for Free
By Image
Drop file here or Click Here to upload
Math Problem Analysis
Mathematical Concepts
Linear Programming
Inequalities
Optimization
Formulas
Objective function: C = 4x + 12y
Constraints: 3x + 5y <= 12, 6x + 2y <= 10, x >= 0, y >= 0
Theorems
Intersection of linear inequalities
Feasible region
Linear optimization
Suitable Grade Level
College Level or Advanced High School (Grades 11-12)
Related Recommendation
Linear Programming: Minimizing C = -10x + 10y with Constraints y≤x+2, y≤–3x+10, y≥–x+4
Linear Programming: Minimizing c = x + 2y with Constraints
Maximize and Minimize z = 3x + 4y with Constraints 2x + y ≥ 10, x + 2y ≥ 8
Maximizing the Objective Function in Linear Programming: y≥–x, y≤x+8, y≤–5x–4
Maximize the Linear Objective Function 3x + 5y with Constraints