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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

  1. A maximising problem has the constraint 2x+y≥82x+y\ge8, to which a surplus variable ss and an artificial variable tt are added. The objective is P=3x+2yP=3x+2y and the big-M method is used, where MM is a very large positive number.
    Explain the purpose of the term −Mt-Mt, and what it means if t>0t>0 in the final optimal tableau.2 marks
  2. A maximising problem has the constraints x+y≤6x+y\le6 and x+y≥9x+y\ge9, with x,y≥0x,y\ge0. It is solved using the two-stage Simplex method, with a slack variable s1s_1 in the first constraint and a surplus variable s2s_2 and an artificial variable tt in the second.
    Explain, without using the Simplex algorithm, why the stage 1 result is correct.2 marks
  3. A company makes xx tonnes of product X and yy tonnes of product Y. It wishes to maximise the profit P=3x+4yP=3x+4y subject to x+y≤12x+y\le12 and x+2y≥6x+2y\ge6, with x≥0x\ge0 and y≥0y\ge0. The big-M method is used, with slack variable s1s_1, surplus variable s2s_2 and artificial variable tt. Tableau columns are in the order xx, yy, s1s_1, s2s_2, tt, then the value.
    Write the constraints as equations and write down the objective function for the big-M method.3 marks
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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).