DP Math AI · HL / SL · Calculus

SL 5.7—Optimisation

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Notes

What is Optimisation?

Optimisation: The process of finding the maximum or minimum value of a function, often subject to constraints. In calculus, this is done by analysing critical points found through differentiation.

Optimisation problems appear throughout mathematics and the real world. Whether a company wants to minimise costs, an engineer wants to maximise efficiency, or a farmer wants to maximise the area of a field , the mathematical approach is the same.

The key idea: if a function has a maximum or minimum on an open interval, it must occur at a critical point (where f′(x)=0 or f′(x) is undefined). However, on a closed interval, you must also check the endpoints.

Analogy

Think of optimisation like finding the highest or lowest point on a hiking trail between two fixed start and end points. The summit (maximum) or valley (minimum) could be somewhere in the middle , or it could be right at the start or end of the trail.

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8 more sections in this topic

← Previous topicSL 5.6—Stationary points, local max and minNext topic →SL 5.8—Trapezoid rule
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