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
15:51 minutes
Problem 59c
Textbook Question
In Exercises 57–59, graph the region determined by the constraints. Then find the maximum value of the given objective function, subject to the constraints. This is a piecewise function. Refer to the textbook.
Verified step by step guidance
1
<insert step 1: Identify the constraints and the objective function from the problem statement.>
<insert step 2: Graph the constraints on a coordinate plane to determine the feasible region. This involves plotting each inequality and shading the appropriate side.>
<insert step 3: Identify the vertices of the feasible region, as these are potential candidates for maximizing the objective function.>
<insert step 4: Evaluate the objective function at each vertex of the feasible region to determine which one gives the maximum value.>
<insert step 5: Conclude by stating which vertex provides the maximum value of the objective function, based on your evaluations.>
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Graphing Constraints
Graphing constraints involves plotting inequalities on a coordinate plane to visualize the feasible region where all constraints are satisfied. Each inequality represents a boundary, and the area where these boundaries overlap indicates the possible solutions. Understanding how to interpret and graph these inequalities is crucial for identifying the region of interest.
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Objective Function
An objective function is a mathematical expression that defines the goal of an optimization problem, typically to maximize or minimize a certain quantity. In this context, it is evaluated at various points within the feasible region to determine the best possible outcome. Recognizing how to formulate and analyze the objective function is essential for solving optimization problems.
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Piecewise Functions
A piecewise function is defined by different expressions based on the input value, often used to model situations where a rule changes at certain points. Understanding how to work with piecewise functions is important for evaluating the objective function at specific points within the feasible region, as the function's behavior may vary depending on the constraints.
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