Hint Optimisation Question

  • Thread starter Procrastinate
  • Start date
  • Tags
    Optimisation
C(x)) plus the amount paid for the CD players (dx). So, the profit equation would be P(x) = (dx * d) - C(x). You can use calculus to find the maximum profit by finding the critical points of this function. In summary, to maximize profits for the manufacturer, they should price the CD players at $25 each.
  • #1
Procrastinate
158
0
A manufacturer can sell x CD players per week at d dollars per item, where
x = 600 - 3d

Production costs (in dollars) are given by:

C(x) = 600 + 10x + 0.4x2

How should the CD players be priced in order to maximise profits?




------------

I have tried a variety of ways but none of them have shown much progress:

dx = 600t - 3d2

Then it doesn't make sense when I take this away from P because there are then three variables.
I have also tried re-arranging x = 600-3d to x-600/-3 but that has shown no success.


Please, could anyone provide some productive hints?
 
Physics news on Phys.org
  • #2
It's not clear in your post what you're trying to do. Do you have an equation that gives the profit of the manufacturer based on d? Remember that profit is revenue minus cost, and that the revenue is the price times the number of CD's made
 

1. What is hint optimisation?

Hint optimisation is a process used in computer science and artificial intelligence to improve the efficiency and accuracy of algorithms by providing additional hints or clues to guide the algorithm towards the correct solution.

2. How does hint optimisation work?

Hint optimisation works by providing additional information or constraints to an algorithm, which helps it make more informed decisions and eliminates unnecessary steps. This can result in faster and more accurate solutions.

3. What are the benefits of using hint optimisation?

The main benefits of using hint optimisation include improved efficiency and accuracy of algorithms, which can save time and resources. It can also make complex problems more manageable and help find solutions that may not have been possible without hints.

4. What types of problems can hint optimisation be applied to?

Hint optimisation can be applied to a wide range of problems, including optimization problems, search algorithms, and machine learning tasks. It can also be used in game AI to improve gameplay and decision-making.

5. How can I implement hint optimisation in my own projects?

The specific implementation of hint optimisation will depend on the problem and algorithm being used. However, some common techniques include using heuristics, pruning unnecessary branches, and incorporating domain-specific knowledge. It is important to carefully consider the problem and available hints before implementing this technique.

Similar threads

Replies
2
Views
967
  • Calculus and Beyond Homework Help
Replies
3
Views
1K
  • Calculus and Beyond Homework Help
Replies
3
Views
3K
  • Calculus and Beyond Homework Help
Replies
25
Views
3K
  • Calculus and Beyond Homework Help
Replies
5
Views
8K
  • General Discussion
2
Replies
46
Views
3K
Replies
1
Views
2K
  • Calculus and Beyond Homework Help
Replies
6
Views
2K
  • Set Theory, Logic, Probability, Statistics
Replies
5
Views
2K
  • Calculus and Beyond Homework Help
Replies
8
Views
2K
Back
Top