How Do I Solve These Grade 12 Calculus Optimization Problems?

In summary: A sailor in a boat 8km off a straight coastline wants to reach a point on shore 10km from the point directly opposite her present position in the shortest possible time. Where should she land the boat and how long does it take her to reach her destination if she can row ar 4km/h and run at 6km/h?(answer is 7.2 km down the shore;3.15h)
  • #1
decamij
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I have couple of questions on optimization, i don't want the answer, i just want to know what i have to do to approach this question. Keep in mind that I am in grade 12 calculus, i.e. PLEASE don't give me some crazy university answer with equations I've never seen before. Anyways, here are the problems:

1)At 11AM, a 747 jet is traveling east at 800km/h. At the same instant, a DC-8 is 45km east and 90km north of the 747. It is at the same altitude traveling south at 600km/h. What is the closest distance of approach of the planes, and at what time does it occur?

(answer is 45km; at 11:05AM)

2)A sailor in a boat 8km off a straight coastline wants to reach a point on shore 10km from the point directly opposite her present position in the shortest possible time. Where should she land the boat and how long does it take her to reach her destination if she can row ar 4km/h and run at 6km/h?

(answer is 7.2 km down the shore;3.15h)

Thanx a bunch!
 
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  • #2
decamij said:
1)At 11AM, a 747 jet is traveling east at 800km/h. At the same instant, a DC-8 is 45km east and 90km north of the 747. It is at the same altitude traveling south at 600km/h. What is the closest distance of approach of the planes, and at what time does it occur?

(answer is 45km; at 11:05AM)
Damn it, I was doing this problem for like 2 hours before I realized I forgot some fundamental rules of doing derivatives!

Anyway, set east/west as X, then north/south as Y. Here is the distance formula:

[tex]D = (X^2 + Y^2)^{\frac{1}{2}}[/tex]

Your X value is (45 - 800t). The 800 is negative because the X gap between the planes is decreasing.
Your Y value is (90 - 600t). The 600 is negative because the Y gap is decreasing.
Now sub that into the original equation

[tex]D = [(45 - 800t)^2 + (90 - 600t)^2]^{\frac{1}{2}}[/tex]

If you want more help, scroll way down. My answer continues on.

























































Now take the derivative.

[tex]\frac{dD}{dt} = \frac{1}{2}[(45 - 800t)^2 + (90-600t)^2]^{\frac{-1}{2}} [2(45 - 800t)(-800) + 2(90-600t)(-600)][/tex]

Remember that dD/dt is 0. If you have a TI calculator, you can type that massive formula into the equation solver and come out with the answer t = 0.09, which is hours. Multiply that by 60 to get 5.4 minutes (11:05AM). Fill that 0.09 back into the original distance formula (first formula in my post) and you'll get 45km. :biggrin:

Sorry for posting the whole answer, but I put way too much work into that problem to just give a hint :wink:
 
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  • #3
Well, about the second question, if the sailor lands the boat at X km down the point directly opposite her then she has rowed [tex]\sqrt{8^{2} + x^{2}}[/tex] km and she needs to run another (10-x) km.
Using this calculate how much time she spends passing each part and then do the derivation.
 
  • #4
Thanx a bunch
 

FAQ: How Do I Solve These Grade 12 Calculus Optimization Problems?

1. What are optimization problems?

Optimization problems refer to mathematical problems that involve finding the maximum or minimum value of a function. This can be a real-world problem, such as finding the most cost-effective solution to a business decision, or a theoretical problem in mathematics.

2. What are the different types of optimization problems?

The two main types of optimization problems are constrained optimization and unconstrained optimization. Constrained optimization involves finding the maximum or minimum value of a function within a specific set of constraints, while unconstrained optimization involves finding the maximum or minimum value without any constraints.

3. How do you solve optimization problems?

There are various methods for solving optimization problems, such as analytical methods, numerical methods, and heuristic methods. Analytical methods involve using calculus to find the optimal solution, while numerical methods use algorithms and computer programs to approximate the solution. Heuristic methods involve using trial and error or educated guesses to find a near-optimal solution.

4. What are some real-world applications of optimization problems?

Optimization problems have numerous real-world applications, including in business, engineering, economics, and science. They can be used to optimize production processes, minimize costs, maximize profits, design efficient structures, and solve complex scientific problems.

5. What are the challenges associated with solving optimization problems?

One of the main challenges of solving optimization problems is that they can be complex and difficult to solve. Additionally, there may be multiple solutions or no feasible solutions at all. Another challenge is that the optimal solution may change over time, requiring constant re-evaluation and adjustment.

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