How do you minimize and maximize #f(x,y)=x^3-y# constrained to #x-y=4#?
we'll do it first as a problem in single variable calculus.
it's all the usual stuff from here on
i'll do a Lagrange Multiplier next to compare. the basic premise is that with
or
I'm asking for a second opinion on this next bit.
Because there is no simple way to explore the nature of the turning points, especially with more complex problems, when using the LM approach. You can often play with the physical reality and reason a solution but there is no quick second derivative check, sadly, that i am aware of.
would be of any use here.
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To minimize and maximize constrained to , follow these steps:
- Solve the constraint equation for to get .
- Substitute into the objective function to get the function in terms of only: .
- Find the critical points of by setting its derivative equal to zero and solving for .
- Determine the corresponding -values for each critical point using the constraint equation.
- Evaluate the objective function at each critical point to find the maximum and minimum values.
Alternatively, you can use Lagrange multipliers to solve this constrained optimization problem.
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When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.
When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.
When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.
When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.
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