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The Simplex algorithmEdexcel A-Level Further Maths: Flashcards

What these 13 flashcards ask

  • What does the Simplex algorithm do?
  • How is the objective written in the initial tableau?
  • Which variables are basic at the start?
  • How do you choose the pivot column?
  • How do you choose the pivot row?
  • Why ignore negative entries in the ratio test?
  • What is the first row operation after choosing the pivot?
  • What are the other row operations?
  • When is a tableau optimal?
  • How do you read the solution from an optimal tableau?
  • How do you handle a minimising problem?
  • What does a basic slack variable of 0 mean?
  • How can you check an optimal solution?

Exam questions on The Simplex algorithm

  1. A firm makes xx units of product X and yy units of product Y. It wishes to maximise the profit P=2x+3yP=2x+3y subject to x+y≤10x+y\le10 and x+2y≤16x+2y\le16, with x≥0x\ge0 and y≥0y\ge0. Slack variables rr and ss are added to the first and second constraints and the Simplex algorithm is used.
    State which variable enters the basis and which leaves, and write down the new pivot row after the first iteration.2 marks
  2. A maximising problem in xx and yy, with slack variables rr and ss, has been partly solved by the Simplex algorithm. The current tableau has columns in the order xx, yy, rr, ss, then the value: r row: 12\frac12, 00, 11, −12-\frac12 | 22 y row: 12\frac12, 11, 00, 12\frac12 | 88 P row: −12-\frac12, 00, 00, 32\frac32 | 2424
    Perform the next iteration and state the optimal values of xx, yy and PP.2 marks
  3. A firm makes xx, yy and zz units of three products each day. Three resources give the constraints 2x+3y+z≤52x+3y+z\le5, 4x+y+2z≤114x+y+2z\le11 and 3x+4y+2z≤83x+4y+2z\le8, with x,y,z≥0x,y,z\ge0. The profit is P=5x+4y+3zP=5x+4y+3z and the firm wishes to maximise it. Slack variables rr, ss and tt are added to the three constraints in order.
    Write down the initial Simplex tableau.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).