Solve Optimisation Problem: 2 Attached Files & Markscheme Explained

In summary: The value of S at the right endpoint would be greater than the value at the left endpoint because S is increasing. However, since we are asked to find the maximum value of S, it is necessary to show that S is strictly increasing in order to conclude that the max value is at the right endpoint. If S is not strictly increasing, then the max value could potentially be at a point within the given range that is not an endpoint. Therefore, it is necessary to show that S is strictly increasing before concluding that the max value is at the right endpoint.
  • #1
nokia8650
218
0

Attachments

  • opt1.jpg
    opt1.jpg
    33.9 KB · Views: 381
  • opt.jpg
    opt.jpg
    25 KB · Views: 279
Last edited by a moderator:
Physics news on Phys.org
  • #2
That's because for any given continuous function, the maximum of that function in any given interval may or may not be at the endpoints. S(alpha) in this question might not attain its maximum value at either endpoints, but at some point x1 in the interval pi/4 < alpha < 1. It is only after differentiating and showing that S is strictly increasing in that interval then it is possible to conclude that the max value of S is at the rightmost endpoint.

If, instead S is strictly decreasing, then the max value of S would be attained at pi/4, the left endpoint. If it is neither strictly increasing or decreasing throughout that interval, then it would not be possible to solve the problem in that manner.
 
Last edited:
  • #3
Thanks for the help. They have given the value of S in a given range - would it therefore not be better to give the value of S at the right endpoint, since S is increasing, meaning that at the right endpoint, the value will be greater than at the left?

Thanks
 
  • #4
Yes, that is so.
 

Related to Solve Optimisation Problem: 2 Attached Files & Markscheme Explained

1. What is an optimization problem?

An optimization problem is a mathematical problem where the goal is to find the best solution from a set of possible solutions. This is often achieved by maximizing or minimizing a certain objective function while satisfying a set of constraints.

2. How do you solve an optimization problem?

To solve an optimization problem, you first need to define the objective function and the constraints. Then, you can use techniques such as linear programming, gradient descent, or genetic algorithms to find the optimal solution.

3. What is the purpose of attached files in an optimization problem?

The attached files in an optimization problem usually contain relevant data or information that is necessary to solve the problem. They may include things like equations, tables, or graphs that can help in understanding the problem and finding the optimal solution.

4. How is the markscheme explained in an optimization problem?

The markscheme in an optimization problem is usually explained by breaking down the problem into smaller, manageable steps and assigning marks for each step. This helps in understanding the criteria for achieving a certain score and provides a structured approach to solving the problem.

5. What are some common techniques used to solve optimization problems?

Some common techniques used to solve optimization problems include linear programming, gradient descent, simulated annealing, and genetic algorithms. The choice of technique depends on the type and complexity of the problem, as well as personal preference and expertise.

Similar threads

  • Introductory Physics Homework Help
Replies
11
Views
1K
  • Calculus and Beyond Homework Help
Replies
17
Views
4K
  • Introductory Physics Homework Help
Replies
12
Views
1K
Replies
72
Views
6K
Replies
1
Views
452
  • Introductory Physics Homework Help
Replies
20
Views
467
  • Introductory Physics Homework Help
Replies
4
Views
936
  • Introductory Physics Homework Help
Replies
19
Views
1K
  • Introductory Physics Homework Help
Replies
2
Views
1K
  • Science and Math Textbooks
Replies
5
Views
2K
Back
Top