Operations Research : Applications and Algorithms
Operations Research : Applications and Algorithms
4th Edition
ISBN: 9780534380588
Author: Wayne L. Winston
Publisher: Brooks Cole
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Chapter 6, Problem 1RP

a.

Explanation of Solution

Dual linear problem and its optimal solution

  • The dual of a given linear program is another linear program that is derived from the original linear program in following ways:
    • Each variable in the original linear program becomes a constraint in the dual linear program.
    • Each constraint in the original linear program becomes a variable in the dual linear program.
    • The objective direction is inversed which becomes maximum in the original and minimum in the dual.
  • Hence the dual of the linear problem is

    Min w = 6y1+ 3y2+ 10y3

    Subject to

    y1+ y2+ 2y3>= 42y1– y2+ y3>= 1

  • The formulas for computing the optimal table include:
    • xj column in optimal table’s constraints = B-1aj
    • Right hand side of optimal table’s constraints = B-1b
    • Coefficient of slack variable in row 0 = (ith element of cBVB-1).
    • Coefficient of excess variable in row 0 = -(ith element of cBVB-1) .
    • Coefficient of artificial variable in row 0 = (ith element of cBVB-1) + M (max problem).
    • Right hand side of row 0 = cBVB-1b
  • Hence the optimal solution is

    w = 58/3, y1= -2/3, y2= 0, y3= 7/3

b.

Explanation of Solution

New Optimal solution

  • For a maximization problem, the new optimal value = (old optimal value) + (Constraint i’s shadow price).
  • For a minimization problem, the new optimal value = (old optimal value) – (Constraint i’s shadow price).
  • Here the new optimal value = 58/3 + row 3 shadow price = 65/3.

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Students have asked these similar questions
Consider the following LP and its optimal tableau:  max z = 3x1 + 2x2s.t. 2x1 + 5x2 ≤ 8 3x1 + 7x2 ≤ 10 x1, x2 ≥ 0  a) Find the dual of this LP and its optimal solution.  b) Find the range of values of b2 for which the current basis remains optimal. Also find the new optimal solution if b2 = 5.
Why is it that each LP with an optimum solution also has an optimal fundamental viable solution to the problem?
It is unclear why any LP with an optimal solution also has an optimal basic viable solution.

Chapter 6 Solutions

Operations Research : Applications and Algorithms

Ch. 6.3 - Prob. 4PCh. 6.3 - Prob. 5PCh. 6.3 - Prob. 6PCh. 6.3 - Prob. 7PCh. 6.3 - Prob. 8PCh. 6.3 - Prob. 9PCh. 6.4 - Prob. 1PCh. 6.4 - Prob. 2PCh. 6.4 - Prob. 3PCh. 6.4 - Prob. 4PCh. 6.4 - Prob. 5PCh. 6.4 - Prob. 6PCh. 6.4 - Prob. 7PCh. 6.4 - Prob. 8PCh. 6.4 - Prob. 9PCh. 6.4 - Prob. 10PCh. 6.4 - Prob. 11PCh. 6.4 - Prob. 12PCh. 6.4 - Prob. 13PCh. 6.5 - Prob. 1PCh. 6.5 - Find the duals of the following LPs: Ch. 6.5 - Prob. 3PCh. 6.5 - Prob. 4PCh. 6.5 - Prob. 5PCh. 6.5 - Prob. 6PCh. 6.6 - Prob. 1PCh. 6.6 - Prob. 2PCh. 6.7 - Prob. 1PCh. 6.7 - Prob. 2PCh. 6.7 - Prob. 3PCh. 6.7 - Prob. 4PCh. 6.7 - Prob. 5PCh. 6.7 - Prob. 6PCh. 6.7 - Prob. 7PCh. 6.7 - Prob. 8PCh. 6.7 - Prob. 9PCh. 6.8 - Prob. 1PCh. 6.8 - Prob. 2PCh. 6.8 - Prob. 3PCh. 6.8 - Prob. 4PCh. 6.8 - Prob. 5PCh. 6.8 - Prob. 6PCh. 6.8 - Prob. 8PCh. 6.8 - Prob. 9PCh. 6.8 - Prob. 10PCh. 6.8 - Prob. 11PCh. 6.9 - Prob. 1PCh. 6.9 - Prob. 2PCh. 6.9 - Prob. 3PCh. 6.10 - Prob. 1PCh. 6.10 - Prob. 2PCh. 6.10 - Prob. 3PCh. 6.11 - Prob. 1PCh. 6.11 - Prob. 3PCh. 6.11 - Prob. 4PCh. 6.12 - Prob. 5PCh. 6.12 - Prob. 6PCh. 6.12 - Prob. 7PCh. 6 - Prob. 1RPCh. 6 - Prob. 2RPCh. 6 - Prob. 3RPCh. 6 - Prob. 4RPCh. 6 - Prob. 5RPCh. 6 - Prob. 6RPCh. 6 - Prob. 7RPCh. 6 - Prob. 8RPCh. 6 - Prob. 9RPCh. 6 - Prob. 10RPCh. 6 - Prob. 11RPCh. 6 - Prob. 13RPCh. 6 - Prob. 14RPCh. 6 - Prob. 15RPCh. 6 - Prob. 17RPCh. 6 - Prob. 18RPCh. 6 - Prob. 19RPCh. 6 - Prob. 20RPCh. 6 - Prob. 21RPCh. 6 - Prob. 22RPCh. 6 - Prob. 25RPCh. 6 - Prob. 29RPCh. 6 - Prob. 33RPCh. 6 - Prob. 34RPCh. 6 - Prob. 35RPCh. 6 - Prob. 36RPCh. 6 - Prob. 37RP
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Operations Research : Applications and Algorithms
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ISBN:9780534380588
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