Web Reference: Learn single-variable classical optimization techniques, including key definitions, optimality conditions, higher-order derivative tests, and detailed examples for engineering and mathematical applications. We must first notice that both functions cease to decrease and begin to increase at the minimum point (x = 0). However, this transition is not made in the same manner for both. The function goes from decreasing to increasing progressively and at the minimum point, the slope is zero. In this section, we will discuss problems like the pumping station location that we can model and solve using single-variable calculus. First, we’ll review the calculus concepts needed for optimization, and then apply them to applications.
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