Solving the Pup Tent Problem: Volume & Cost Minimization

  • Thread starter Todd Bakker
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In summary, the pup tent problem involves finding the dimensions of a tent in the shape of a spherical cap that can hold 2.2 m^3 of volume and sleep two to three people while minimizing the cost of materials. To solve this problem, one must use formulas for the surface area and volume of a spherical cap, taking into account that the materials for the dome and base of the tent are of different costs.
  • #1
Todd Bakker
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"The pup tent problem"

This has been assigned for our introduction to calculus class and we are completely stuck, any ideas on how to solve this problem? Thanks for the help!

The Dome Tent
Imagine making a tent in the shape of a spherical cap (a sphere with lower portion sliced away by a plane). Assume we want the volume to be 2.2 m^3, to sleep two or three people.
The floor of the tent is cheaper material than the rest: assume that the material making up the dome of the tent is 1.4 times as expensive per square meter than the material touching the ground
What should the dimensions of the tent be so that the cost of the material is a minimum?

Also, what formulas should we use for Surface area and Volume(we have found many different ones online)
Thanks so much for your time and brain power!
 
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  • #2
Todd Bakker said:
The Dome Tent
Imagine making a tent in the shape of a spherical cap (a sphere with lower portion sliced away by a plane). Assume we want the volume to be 2.2 m^3, to sleep two or three people.
The floor of the tent is cheaper material than the rest: assume that the material making up the dome of the tent is 1.4 times as expensive per square meter than the material touching the ground
What should the dimensions of the tent be so that the cost of the material is a minimum?

Also, what formulas should we use for Surface area and Volume(we have found many different ones online)

You'll have to show some sort of attempt to work out the problem in order to get help here.

I assume that since the problem specificies a "spherical cap" and not a hemisphere, you will need to look online for the formulas for the surface area and volume of a spherical cap of height h and sphere radius R. Don't forget that the materials for the tent will include a circular base made of different material from the dome. (If you're in a second-semester calculus course, you may be expected to derive the formulas for yourself.)
 

Related to Solving the Pup Tent Problem: Volume & Cost Minimization

1. What is the Pup Tent Problem?

The Pup Tent Problem is a mathematical optimization problem that involves finding the minimum volume and cost for a tent that can accommodate a certain number of people. It is often used as a real-world example in optimization and operations research.

2. How is the Pup Tent Problem solved?

The Pup Tent Problem can be solved using various mathematical techniques, such as linear programming, quadratic programming, and dynamic programming. These techniques involve formulating an objective function and constraints, and then using algorithms to find the optimal solution.

3. What are the factors that affect the solution to the Pup Tent Problem?

The main factors that affect the solution to the Pup Tent Problem are the number of people that need to be accommodated, the shape and size of the tent, the cost of materials, and any additional constraints, such as space limitations or budget constraints.

4. How is volume and cost minimized in the Pup Tent Problem?

The goal in solving the Pup Tent Problem is to find the optimal balance between minimizing the volume of the tent while also minimizing the cost. This can be achieved by adjusting the shape and size of the tent, as well as considering different materials and their associated costs.

5. What are some real-world applications of the Pup Tent Problem?

The Pup Tent Problem has practical applications in various industries, such as manufacturing, logistics, and supply chain management. It can also be applied to other similar problems, such as optimizing the size and cost of packaging for products or maximizing the use of storage space in a warehouse.

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