Lesson 8: Optimisation Problems (Max/Min Applications)

NCEA Level 3 Calculus. Students master real-world optimisation modelling (maximising container volume, minimising material costs, boundary paddock areas), writing Portfolio Section 8.

Lesson at a Glance | He Tirohanga Whakamua

Do NowOptimising a farm paddock boundary with 100m of fencing against a river10 min
Optimisation ProtocolSetting Objective Function f(x) & Constraint Equation15 min
Solving & VerificationSolving f′(x)=0 and proving maximum with f″(x)<015 min
Portfolio EntryWrite Section 8: Optimisation Modelling & Engineering Max/Min10 min
Exit DrillFind dimensions of maximum volume open box cut from a 12cm x 12cm sheet5 min

Ngā Whāinga Ako | Learning Intentions

Students will know

  • The 4-Step Optimisation Protocol:
    1. Define variables & sketch diagram.
    2. Formulate Objective & Constraint equations.
    3. Express Objective in 1 variable f(x).
    4. Solve f′(x)=0 and verify with f″(x).
  • Common optimisation applications: Maximising enclosed area, volume of open/closed boxes, cylindrical cans, and minimising construction costs.

Students will demonstrate

  • By solving 3 complete engineering optimisation problems from initial diagram to second-derivative verification.
  • By completing Section 8 of their Level 3 Calculus Differentiation Portfolio.

Do Now | Tīmatanga Whakaaro (10 min)

Fencing Paddock Prompt:

"A farmer has 100 m of fencing wire to build a rectangular paddock along a straight riverbank (no fence needed along the river). What dimensions (x,y) enclose the maximum possible area?"

Unpack: Constraint: x+2y=100→x=100−2y. Objective: A=xy=(100−2y)y=100y−2y2. Derivative: dAdy=100−4y=0→y=25 m,x=50 m! Maximum Area =1250 m2.

Optimisation Protocol & Box Volume Example (15 min)

1. Open Box Cutout Problem

Cut corners of size x from 12cm×12cm card.
V(x)=x(12−2x)2=4x3−48x2+144x
V′(x)=12x2−96x+144=0→x=2cm.

2. Second Derivative Verification

V″(x)=24x−96. At x=2: V″(2)=−48<0, confirming a true local maximum volume (Vmax=128cm3)!

📁 Calculus Differentiation Portfolio — Section 8: Optimisation Problems

Students open their Level 3 Calculus Portfolio and complete Section 8:

Section 8 Requirements:

1. Optimisation Protocol Flowchart: Draw the 4-step workflow from geometric diagram to f″(x) verification.

2. Cylindrical Can Optimisation Solver: A closed tin can must hold 330cm3 volume (V=πr2h=330). Find radius r and height h that minimise surface area A=2πr2+2πrh.

3. Extension: Optimal Cylinder Aspect Ratio: Prove mathematically that for ANY closed cylindrical can of fixed volume, minimum surface area occurs when height equals diameter (h=2r).

Exit Verification | Ka Mutu Hoki (5 min)

Exit Check:

"My Section 8 proves minimum tin can surface area occurs when h = 2r (r = 3.74 cm for 330 mL) using f''(r) > 0 verification."

Teacher Planning & NCEA Alignment

NCEA Level 3 Calculus Alignment (6 Credits External):

  • Optimisation Applications: Formulate mathematical models for physical situations and apply differentiation to solve optimisation problems.

Vocabulary: Optimisation, objective function, constraint equation, stationary point (f′=0), second derivative test (f″<0), local maximum, local minimum.