Linear Programming · Part 2 of 3
6 exam-style questions with model answers, plus 8 quick multi-choice questions — every question on this part of the standard, grouped by the 2 pages of notes they come from.
Write a full answer before you reveal the model one. That comparison is where the learning happens.
Find all corners of the region defined by , , , , checking each against every constraint.
A region is defined by , , , , . Find its corners, state whether it is bounded, and explain what that means for maximising and for minimising a positive objective function over it.
Explain why the feasible region of a linear programme is always convex, and prove that a linear objective function attains its maximum at a corner of a bounded feasible region.
A feasible region has corners , , and . Maximise and state which corner is optimal.
For the region with corners , , , , , maximise . Explain what you find, and describe how the sliding-line method reveals it.
For the dairy model (maximise subject to , , , , ), determine the range of Halloumi profit per tray for which remains optimal, and analyse what happens outside that range.