Two-stage Simplex and big-M methodsEdexcel A-Level Further Maths: Flashcards
What these 13 flashcards ask
- Why does a \ge constraint need an artificial variable?
- Write x+2y\ge6 with surplus s2 and artificial t.
- What must an artificial variable equal in a genuine solution?
- What is M in the big-M method?
- How is the objective written in the big-M method (maximising)?
- Why subtract M\times t row from the P row?
- What does t0 in the optimal big-M tableau show?
- What is the stage 1 objective in the two-stage method?
- What does a stage 1 minimum of 0 mean?
- What does a positive stage 1 minimum mean?
- What happens in stage 2?
- How do you handle minimising C?
- Which method uses symbolic M and which uses only numbers?
Exam questions on Two-stage Simplex and big-M methods
- A maximising problem has the constraint , to which a surplus variable and an artificial variable are added. The objective is and the big-M method is used, where is a very large positive number.Explain the purpose of the term , and what it means if in the final optimal tableau.2 marks
- A maximising problem has the constraints and , with . It is solved using the two-stage Simplex method, with a slack variable in the first constraint and a surplus variable and an artificial variable in the second.Explain, without using the Simplex algorithm, why the stage 1 result is correct.2 marks
- A company makes tonnes of product X and tonnes of product Y. It wishes to maximise the profit subject to and , with and . The big-M method is used, with slack variable , surplus variable and artificial variable . Tableau columns are in the order , , , , , then the value.Write the constraints as equations and write down the objective function for the big-M method.3 marks
Written by the Exaim team, led by Shaun Daswani (Head of Upper Secondary, Improve ME Institute; MSc Financial Mathematics, Imperial College London; BSc, UCL) and Jason Daswani (operational lead, Improve ME Institute; LSE).