Critical points, increasing and decreasing intervals, concavity, optimization and related rates — turning derivatives into information about shape and motion.
Short answers to the things students ask most about this unit.
Use the second derivative test: at a critical point, a negative second derivative means the curve is concave down and you have a local maximum; a positive one means concave up and a local minimum.
Write the quantity to be optimized as a function of one variable using the constraint, differentiate, set the derivative to zero, then confirm it is a maximum or minimum before answering in context.
The solutions above show the steps. The classes teach how to think about the problem in the first place — interactive, and worked through at the student’s own pace. Try 3 complete classes free — no payment required to begin.
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