Table of contents
- 0. Functions7h 52m
- Introduction to Functions16m
- Piecewise Functions10m
- Properties of Functions9m
- Common Functions1h 8m
- Transformations5m
- Combining Functions27m
- Exponent rules32m
- Exponential Functions28m
- Logarithmic Functions24m
- Properties of Logarithms34m
- Exponential & Logarithmic Equations35m
- Introduction to Trigonometric Functions38m
- Graphs of Trigonometric Functions44m
- Trigonometric Identities47m
- Inverse Trigonometric Functions48m
- 1. Limits and Continuity2h 2m
- 2. Intro to Derivatives1h 33m
- 3. Techniques of Differentiation3h 18m
- 4. Applications of Derivatives2h 38m
- 5. Graphical Applications of Derivatives6h 2m
- 6. Derivatives of Inverse, Exponential, & Logarithmic Functions2h 37m
- 7. Antiderivatives & Indefinite Integrals1h 26m
- 8. Definite Integrals4h 44m
- 9. Graphical Applications of Integrals2h 27m
- 10. Physics Applications of Integrals 2h 22m
5. Graphical Applications of Derivatives
Applied Optimization
Problem 4.5.21
Textbook Question
Shipping crates A square-based, box-shaped shipping crate is designed to have a volume of 16 ft³. The material used to make the base costs twice as much (per square foot) as the material in the sides, and the material used to make the top costs half as much (per square foot) as the material in the sides. What are the dimensions of the crate that minimize the cost of materials?

1
Define the variables: Let x be the side length of the square base and h be the height of the crate. The volume constraint is given by the equation V = x^2 * h = 16 ft³.
Express the height h in terms of x using the volume constraint: h = 16 / x^2.
Set up the cost function: Let C_base, C_side, and C_top be the costs per square foot for the base, sides, and top, respectively. Given that C_base = 2 * C_side and C_top = 0.5 * C_side, the total cost function is C = 2 * C_side * x^2 + 4 * C_side * x * h + 0.5 * C_side * x^2.
Substitute h from step 2 into the cost function: C = 2 * C_side * x^2 + 4 * C_side * x * (16 / x^2) + 0.5 * C_side * x^2. Simplify this expression to find C in terms of x.
Differentiate the cost function with respect to x, set the derivative equal to zero, and solve for x to find the critical points. Use the second derivative test or analyze the behavior of the cost function to determine which critical point minimizes the cost.

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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Volume of a Box
The volume of a box is calculated by multiplying its length, width, and height. For a square-based crate, the volume formula simplifies to V = x²h, where x is the length of a side of the base and h is the height. Understanding how to express the volume in terms of the dimensions is crucial for setting up the problem correctly.
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Example 5: Packaging Design
Cost Function
The cost function represents the total cost of materials used in constructing the crate. It is derived from the areas of the base, sides, and top, each multiplied by their respective costs per square foot. Formulating this function accurately is essential for determining the dimensions that minimize the overall cost.
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Properties of Functions
Optimization Techniques
Optimization techniques, such as finding critical points using derivatives, are used to minimize or maximize functions. In this context, applying calculus to the cost function allows us to find the dimensions of the crate that yield the lowest cost. Understanding how to differentiate and analyze these functions is key to solving the problem.
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Intro to Applied Optimization: Maximizing Area
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