Optimization ( Applied Max and Minimum )

In summary, a square open-topped box with the maximum volume can be constructed from a 30 cm by 30 cm piece of cardboard by cutting out squares from the corners and folding up the sides. The dimensions of the box are 5 cm by 20 cm by 20 cm. The base of the box is 30 - 2x because the squares are subtracted from both sides. Drawing a diagram can help visualize this concept. The equation for volume is V(x) = x(30-2x)^2 and its derivative is v`(x) = 12(x-15)(x-5). The dimensions of largest volume can be found by setting the derivative equal to 0 and solving for x. The interval
  • #1
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Homework Statement



From a square piece of cardboard, 30 cm on each side, an open topped box is to be constructed by cutting the squares from the corners and turning up the sides. What are the dimensions of the box of largest volume?





The Attempt at a Solution



I know how to do the derivatives from the equation below. but from the book I don't get why the base of the box is : 30 - 2x.

The equation goes like this:
V(x) = x(30-2x)^2.
 
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  • #2
base of the box would be 30 - 2x because you are subtracting x twice. Try to draw a diagram to help you

so like you said

v(x) = x(30-2x)(30-2x)
v(x) = 4x^3 - 120x^2 + 900x
v`(x) = 12x^2 - 240x + 900
v`(x) = 12(x-15)(x-5)
v`(x) = 5, 15

Therefore dimestions of largest volume are 5, 20, 20

[note the interval was 0 < x < 15 (if you went higher than 15 you would have negative distance, you can close the intervals or open them depending on how you look at it- but in this case 15 would yield a minimum rather than a maximum)

Check:
v``(x) = 24x - 240
v``(5) = 24(5) < 240
so this is a maximum because v``(x) < 0
 

Related to Optimization ( Applied Max and Minimum )

1. What is optimization?

Optimization is the process of finding the best solution for a given problem or situation. It involves maximizing or minimizing a specific objective or set of objectives, while taking into account any constraints or limitations.

2. What is applied maximum and minimum?

Applied maximum and minimum refer to the practical applications of optimization, where the goal is to find the maximum or minimum value of a function in a given context. This can include finding the most efficient way to allocate resources, minimize costs, or maximize profits.

3. How is optimization used in science?

Optimization is used in a wide range of scientific fields, including engineering, economics, physics, and biology. It can be used to optimize processes, design experiments, and solve complex problems that have multiple variables and constraints.

4. What methods are commonly used for optimization?

There are several methods for optimization, including linear programming, nonlinear programming, and evolutionary algorithms. The choice of method depends on the specific problem and its characteristics, such as the number of variables and constraints.

5. What are the benefits of optimization?

Optimization can lead to more efficient and effective solutions, saving time, resources, and money. It also allows for a systematic approach to problem-solving, providing a clear understanding of the trade-offs and limitations of different solutions.

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