Optimization Flashcards

1
Q

What are local maxima and minima?

A

Points where f’(x) is 0 or undefined

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2
Q

Which points are candidates for local extrema?

A

Critical points

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3
Q

How do you find critical points?

A

Take the derivative of a function and find where it is equal to 0 or undefined

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4
Q

What two tests determine whether a critical point is a local max/min?

A

1st Derivative Test and 2nd Derivative Test

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5
Q

According to the 1st Derivative Test, when is x = a a local max?

A

When f’(x) swtiches from positive to negative at x = a
When f(x) goes from increasing to decreasing

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6
Q

According to the 1st Derivative Test, when is x = a a local min?

A

When f’(x) swtiches from negative to psotive at x = a
When f(x) goes from decreasing to increasing

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7
Q

2nd Derivative Test: When f”(a) is negative, is x = a a local max or a local min?

A

Local max

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8
Q

2nd Derivative Test: When f”(a) is positive, is x = a a local max or a local min?

A

Local min

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9
Q

2nd Derivative Test: When f”(x) = 0, is x = a a local max or a local min?

A

Test inconclusive

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10
Q

What is the absolute max of a function?

A

The x-coordinate on [a, b] where f(x) is as big as possible

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11
Q

What is the absolute min of a function?

A

The x-coordinate on [a, b] where f(x) is as small as possible

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12
Q

If f(x) is a continuous function on [a, b], what are the possible values for the absolute extrema?

A

The endpoints (x = a, x = b) and the critical points

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13
Q

What are three steps to find absolute extrema?

A
  1. Find the derivative of the function
  2. Set it equal to zero (and see where it’s undefined) to determine the critical points
  3. Substitute endpoints of the interval and critical points into f(x). Highest = absolute max, lowest = absolute min
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