thinkbot
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How are Finding the max and min of a optimization problem different. and how do you distinguish them in an equation?
The discussion centers on the differences between finding the maximum and minimum values in optimization problems, specifically how to distinguish between them within equations. It involves theoretical aspects of calculus, particularly the use of derivatives to identify critical points and determine the nature of these points.
Participants generally agree on the process of finding critical values and the application of derivative tests, but there is no consensus on the detailed rationale behind these tests, as some seek further explanation.
Some assumptions about the familiarity with calculus concepts may be present, and the discussion does not resolve the underlying rationale for the derivative tests.
thinkbot said:Yes I am familiar
thinkbot said:find f^1(x) = 0 x('s)= critical numbers plus some points (a,b) or [a,b]
f(x,a,b) = extrema Larget # max smallest # min
Using f^2(x) for the critical #'s f2(x) > 0 then min and ect.