Minimizing and optimization related rate problem

In summary, minimizing and optimization related rate problems involve finding the optimal solution for a given situation by minimizing or maximizing a quantity while considering other related variables. This can be applied in various fields such as economics, engineering, and physics to find the most efficient or cost-effective solution. The process often involves setting up a mathematical model, using calculus to find the critical points, and then analyzing the results to determine the optimal solution. These types of problems require a strong understanding of calculus and its applications, and can be challenging but useful in real-world scenarios.
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Alphax
11
0
I would like to ask for help solving this problem. I've been at this problem for a few hours without making any progress.

There is a picture of the problem attached in this thread.

So, the question is what is the length of side 'X' used in order to get the shortest possible length for side 'R'. The given value for the triangle are 14 cm on one side and a 40° angle.

what are the steps in approaching the problem?
 

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  • #2
Maybe someone can point to me a source on the internet to understand the concept a bit more?
 
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FAQ: Minimizing and optimization related rate problem

What is the difference between minimizing and optimization?

Minimizing and optimization are two different approaches to finding the best solution for a problem. Minimizing involves finding the lowest or smallest possible value for a given quantity, while optimization involves finding the best or most favorable value for a given quantity.

How do I know when to use minimization or optimization in a related rate problem?

The decision to use minimization or optimization in a related rate problem depends on the nature of the problem and the specific quantity that needs to be optimized. If the problem involves finding the minimum or maximum value of a quantity, then minimization or optimization may be appropriate.

What are some common techniques for solving minimizing and optimization related rate problems?

Some common techniques for solving minimizing and optimization related rate problems include setting up equations using the given information, using derivatives to find critical points, and using graphical or algebraic methods to determine the best solution.

Can minimizing and optimization be applied to real-world situations?

Yes, minimizing and optimization can be applied to real-world situations in various fields such as economics, engineering, and science. For example, minimizing production costs or maximizing profits in a business, or optimizing the design of a bridge for maximum stability.

Are there any limitations to minimizing and optimization in related rate problems?

One limitation of minimizing and optimization in related rate problems is that they may not always provide the most practical or realistic solution. This is because the models and assumptions used in these problems may not accurately reflect the complexities of real-world situations. Additionally, the solutions obtained may be theoretical and may not always be feasible or practical to implement.

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