Table of contents
- 0. Review of Algebra4h 16m
- 1. Equations & Inequalities3h 18m
- 2. Graphs of Equations43m
- 3. Functions2h 17m
- 4. Polynomial Functions1h 44m
- 5. Rational Functions1h 23m
- 6. Exponential & Logarithmic Functions2h 28m
- 7. Systems of Equations & Matrices4h 6m
- 8. Conic Sections2h 23m
- 9. Sequences, Series, & Induction1h 19m
- 10. Combinatorics & Probability1h 45m
7. Systems of Equations & Matrices
Graphing Systems of Inequalities
3:11 minutes
Problem 3b
Textbook Question
Textbook QuestionIn Exercises 1–4, find the value of the objective function at each corner of the graphed region. What is the maximum value of the objective function? What is the minimum value of the objective function? 1. Objective Function z=40x+50y
Verified Solution
This video solution was recommended by our tutors as helpful for the problem above
Video duration:
3mPlay a video:
Was this helpful?
Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Objective Function
An objective function is a mathematical expression that defines the goal of an optimization problem, typically in the form of maximizing or minimizing a value. In this case, the objective function is z = 40x + 50y, where x and y are variables representing quantities to be optimized. The values of the objective function are evaluated at specific points, known as corner points, within the feasible region.
Recommended video:
6:37
Permutations of Non-Distinct Objects
Feasible Region
The feasible region is the set of all possible points that satisfy the constraints of an optimization problem. It is typically represented graphically as a polygon on a coordinate plane. In this scenario, the feasible region is bounded by the axes and the lines representing the constraints, and the corner points of this region are critical for evaluating the objective function.
Recommended video:
2:57
Probability of Non-Mutually Exclusive Events Example
Corner Points
Corner points, or vertices, of the feasible region are the points where the boundary lines intersect. These points are essential in linear programming because the maximum and minimum values of the objective function will occur at one of these corner points. In this problem, the corner points are (0, 10), (6, 8), and (10, 0), and evaluating the objective function at these points will yield the required maximum and minimum values.
Recommended video:
Guided course
05:46
Point-Slope Form
Watch next
Master Linear Inequalities with a bite sized video explanation from Patrick Ford
Start learning