Recall that?differentiation?is about the?rate?of?change?of a function and provides a way of finding?minimum?and?maximum?values of a function
Anything that involves?maximising?or?minimising?a quantity can be modelled using differentiation; for example
minimising?the cost of raw materials in manufacturing a product
the?maximum?height a football could reach when kicked
These are called?optimisation?problems
What modelling assumptions are used in optimisation problems?
The quantity being?optimised?needs to be dependent on a?single?variable
If other variables are initially involved,?constraints?or?assumptions?about them will need to be made; for example
minimising the cost of the?main?raw material – timber in manufacturing furniture say – the cost of screws, glue, varnish, etc can be fixed or considered?negligible
Other?modelling?assumptions?may have to be made too; for example
ignoring air resistance and wind when modelling the path of a kicked football
How do I solve optimisation problems?
STEP 1
Rewrite the quantity to be optimised as a single variable, using any?constraints given in the question
?STEP 2
Use your GDC to find the (local) maximum or minimum points as required
Plot the graph of the function and use the graphing features of the GDC to?“solve for minimum/maximum” as required
?STEP 3
Note down the solution from your GDC and interpret the answer(s) in the context of the question
Exam Tip
The first part of rewriting a quantity as a single variable is often a “show that” question – this means you may still be able to access later parts of the question even if you can’t do this bit
Worked Example
A large allotment bed is being designed as a rectangle with a semicircle on each end, as shown in the diagram below.