Applications of Maximisation and Minimisation (HSC SSCE Mathematics Advanced): Flashcards

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Applications of Maximisation and Minimisation
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Calculus tool for optimisation problems

Differentiation techniques

Justifying stationary points as max/min

Always required using second derivative test or valid method

Four steps in optimisation process

Define, form equation, find optimum, conclude

Step 1 of optimisation

Define quantity to optimise and independent variable

f(x)<0f''(x) < 0 at stationary point means

Local maximum

f(x)>0f''(x) > 0 at stationary point means

Local minimum

Finding stationary points method

Set first derivative equal to zero

Speed optimisation trade-offs

Slow: high time costs; Fast: high fuel costs

Optimal cylinder dimension relationship

Diameter equals height

What limits domain in optimisation problems

Physical constraints and practical limitations

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