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Solve linear programming problems.   Objective
optimization linear programming constraint feasible region New Vocabulary
Check It Out!  Example 1  Graph the feasible region for the following constraints.  (Hint:  Find the vertices) x  ≥ 0 y  ≥ 1.5  2.5 x  + 5 y  ≤ 20 3 x  + 2 y  ≤ 12
Yum’s Bakery bakes two breads,  A  and  B . One batch of  A  uses 5 pounds of oats and 3 pounds of flour. One batch of  B  uses 2 pounds of oats and 3 pounds of flour. The company has 180 pounds of oats and 135 pounds of flour available. Write the constraints for the problem and graph the feasible region. Example 1: Graphing a Feasible Region
Graph the feasible region.
The feasible region is a quadrilateral with vertices at (0, 0), (36, 0), (30, 15), and (0, 45). Check  A point in the feasible region, such as (10, 10), satisfies all of the constraints.  
Why would we want to find a feasible region? objective function:
 
 
Yum’s Bakery wants to maximize its profits from bread sales. One batch of  A  yields a profit of $40. One batch of  B  yields a profit of $30. Use the profit information and the data from Example 1 to find how many batches of each bread the bakery should bake. Example 2: Solving Linear Programming Problems
Example 2 Continued Step 1  Let  P  = the profit from the bread.  Write the objective function:  P  = 40 x  + 30 y   Step 2  Recall the constraints and the graph from Example 1. x  ≥ 0 y  ≥ 0  5 x  + 2 y  ≤ 180 3 x  + 3 y  ≤ 135
Example 2 Continued Step 3  Evaluate the objective function at the vertices of the feasible region. Yum’s Bakery should make 30 batches of bread  A  and 15 batches of bread  B  to maximize the amount of profit. ( x ,  y ) 40 x  + 30 y P($) (0, 0) 40(0) + 30(0) (0, 45) (30, 15) (36, 0)
Ticket out the Door Use your own words to define Vertex Principle of Linear Programming.

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3.4 Pp

  • 1.
  • 2. Solve linear programming problems. Objective
  • 3. optimization linear programming constraint feasible region New Vocabulary
  • 4. Check It Out! Example 1 Graph the feasible region for the following constraints. (Hint: Find the vertices) x ≥ 0 y ≥ 1.5 2.5 x + 5 y ≤ 20 3 x + 2 y ≤ 12
  • 5. Yum’s Bakery bakes two breads, A and B . One batch of A uses 5 pounds of oats and 3 pounds of flour. One batch of B uses 2 pounds of oats and 3 pounds of flour. The company has 180 pounds of oats and 135 pounds of flour available. Write the constraints for the problem and graph the feasible region. Example 1: Graphing a Feasible Region
  • 7. The feasible region is a quadrilateral with vertices at (0, 0), (36, 0), (30, 15), and (0, 45). Check A point in the feasible region, such as (10, 10), satisfies all of the constraints. 
  • 8. Why would we want to find a feasible region? objective function:
  • 9.  
  • 10.  
  • 11. Yum’s Bakery wants to maximize its profits from bread sales. One batch of A yields a profit of $40. One batch of B yields a profit of $30. Use the profit information and the data from Example 1 to find how many batches of each bread the bakery should bake. Example 2: Solving Linear Programming Problems
  • 12. Example 2 Continued Step 1 Let P = the profit from the bread. Write the objective function: P = 40 x + 30 y Step 2 Recall the constraints and the graph from Example 1. x ≥ 0 y ≥ 0 5 x + 2 y ≤ 180 3 x + 3 y ≤ 135
  • 13. Example 2 Continued Step 3 Evaluate the objective function at the vertices of the feasible region. Yum’s Bakery should make 30 batches of bread A and 15 batches of bread B to maximize the amount of profit. ( x , y ) 40 x + 30 y P($) (0, 0) 40(0) + 30(0) (0, 45) (30, 15) (36, 0)
  • 14. Ticket out the Door Use your own words to define Vertex Principle of Linear Programming.

Editor's Notes

  1. We have been solving linear inequalities. i.e. Word Problem from homework. I see that there are many solutions, but what is the BEST one?
  2. Optimization: how to find the maximum or minimum of a quantity. Linear Programming: method of finding a maximum or minimum value (optimization) of a function given the constraints. Constraint : an INEQUALITY that restricts one of the variables Feasible Region : POSSIBLE SOLUTION
  3. Have students graph on whiteboards and hold up. Intercepts: (8, 0) (0, 4) (4, 0), (6, 0) ** Must be careful with shading
  4. Have students switch who has board and graph. DON’T FORGET TO COPY DOWN ALL IMPORTANT INFO FROM PROBLEM. Write inequalities on board.
  5. Intercepts: (0, 90) (36, 0) Intercepts: (0, 45) (45, 0)
  6. We need
  7. Objective Function: The objective function may have a minimum, a maximum, neither, or both depending on the feasible region. **Typically a linear equation ** What is being maximized or minimized
  8. Objective Function: The objective function may have a minimum, a maximum, neither, or both depending on the feasible region. **Typically a linear equation Why do you need the feasible region from Example 1 to solve the problem? Why do you think the vertices as well as points inside the feasible region can be used to evaluate the function? ** What is being maximized or minimized?
  9. Recall: What does the Vertex Principle tell us? Set up chart
  10. Call up students to fill in answers 0, 1350, 1650, 1440 WORKSHEET