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asdfsystema
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Optimization/Related Rates (URGENT) !
Please take a look. Thanks a lot.
Please take a look. Thanks a lot.
Hi Ken,asdfsystema said:
Please take a look. Thanks a lot.
So far, so good.asdfsystema said:thanks i got all the answers except for 1)
so here's what i did:
dh/dt = 2.5 cm
h=11.5
dA/dt= 4cm
A= 99
and i need to find the rate of change of db/dt when h= 11.5
first i found out what the base would be so I plugged h=11.5 into A= 1/2bh and got b=17.2173913
No, the part in parentheses is wrong. Assuming that both b and h are differentiable functions of t, what do you get for d/dt(b*h) using the product rule?asdfsystema said:Next I took dA/dt 1/2 (b*db/dt + h *dh/dt)
Is this correct? Next I plugged in all the known variables and isolated db/dt
At the moment in time of interest, I get db/dt [tex]\approx[/tex] -3.047 cm/min, meaning that the base is decreasing in length.asdfsystema said:db/dt= -1.2051767 ? but it is wrong ...
thanks again
Optimization is the process of finding the best solution to a problem or maximizing a desired outcome. In science, it is important because it allows us to find the most efficient or effective way to achieve a certain goal. It is especially useful in fields such as engineering, economics, and biology.
Optimization problems often involve finding the maximum or minimum value of a function. Calculus provides the tools necessary to analyze and solve these types of problems, such as finding critical points and using optimization techniques like the first and second derivative tests.
Local optimization refers to finding the best solution within a specific region or range, while global optimization involves finding the absolute best solution regardless of the range. In other words, local optimization focuses on finding a solution that is optimal within a given set of constraints, while global optimization aims to find the overall best solution.
Related rates problems involve finding the rate of change of one quantity with respect to another, usually with the use of derivatives. The key to solving these problems is to identify which quantities are changing and how they are related, and then use the chain rule to find the rate of change in terms of the given rates.
An example of an optimization problem could be finding the dimensions of a rectangular box with a fixed volume that minimizes the surface area. A related rates problem could involve finding the rate at which the height of a cone is changing when the radius is increasing at a constant rate.