Cylindrical optimization problem

In summary, in order to minimize the cost of the closed cylindrical container with a volume of 5000in^3, you need to find the optimal values for the height and radius. The top and bottom of the container cost $2.50 per square inch, while the rest of the container costs $4 per square inch. To do this, you can use the equation v=pi(r)^2 to relate the height and radius, and use it in the expression to be minimized.
  • #1
wapakalypse
3
0
A closed cyliindrical container has a volume of 5000in^3. The top and the bottom of the container costs 2.50$in^2 and the rest of the container costs 4$in^2. How should you choose height and radius in order to minimize the cost?


v=pi(r)^2



Unfortunately my attempt at this problem is feeble.
I have trouble finding two equations.
past that, i can derive them and solve.
any help would be most appreciated,
thankss
 
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  • #2
Write an equation using the fact that the volume of the cylinder is known.
This will help you relate height and radius of the container.
Use this in the expression to be minimized.
 

Related to Cylindrical optimization problem

1. What is a cylindrical optimization problem?

A cylindrical optimization problem is a type of mathematical optimization problem where the goal is to find the maximum or minimum value of a function over a cylindrical region. This region is typically defined by a set of constraints and the objective is to find the optimal values of the variables that satisfy these constraints.

2. What are the common applications of cylindrical optimization?

Cylindrical optimization problems have numerous applications in various fields of science and engineering, such as in fluid dynamics, heat transfer, and structural analysis. They are also commonly used in industrial processes, such as in the design of pipelines, tanks, and pressure vessels.

3. How is a cylindrical optimization problem solved?

There are various methods for solving cylindrical optimization problems, such as the gradient descent method, the Newton's method, and the Lagrange multiplier method. These methods involve iteratively finding the optimal values of the variables by minimizing or maximizing the objective function while satisfying the constraints.

4. What are the key challenges in solving cylindrical optimization problems?

One of the main challenges in solving cylindrical optimization problems is the complexity of the problem, which can increase with the number of variables and constraints. Another challenge is the nonlinearity of the objective function, which can make it difficult to find the optimal solution analytically.

5. How important is the choice of initial values in solving cylindrical optimization problems?

The choice of initial values can significantly affect the outcome of solving a cylindrical optimization problem. In some cases, the initial values can determine whether the optimization algorithm will converge to the global optimum or get stuck at a local optimum. Therefore, it is crucial to choose appropriate initial values to ensure the best possible solution is found.

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