Question #237069

Find the dual program of the following linear programming problem.

π‘€π‘–π‘›π‘–π‘šπ‘–π‘§π‘’ 𝑍 = 30π‘₯1 βˆ’ 50π‘₯2 + 10π‘₯3

𝑠𝑒𝑏𝑗𝑒𝑐𝑑 π‘‘π‘œ

3π‘₯1 + 2π‘₯2 βˆ’ π‘₯3 β‰₯ 44

π‘₯1 βˆ’ π‘₯2 + π‘₯3 = 7

π‘₯1 𝑖𝑠 π‘’π‘›π‘π‘œπ‘›π‘ π‘‘π‘Ÿπ‘Žπ‘–π‘›π‘’π‘‘, π‘₯2 β‰₯ 0, π‘₯3 β‰₯ 0,


Expert's answer

In order to apply the dual simplex method, convert Min Z to Max Z and all β‰₯ constraint to β‰€ constraint by multiply -1.


Max Z=-30x1+50x2-10x3

subject to

-3x1-2x2+x3≀-44

x1-x2+x3=7

and  x1 𝑖𝑠 π‘’π‘›π‘π‘œπ‘›π‘ π‘‘π‘Ÿπ‘Žπ‘–π‘›π‘’π‘‘, x2,x3β‰₯0;


The problem is converted to canonical form by adding slack, surplus and artificial variables as appropiate


1. As the constraint-1 is of type '≀' we should add slack variable S1


2. As the constraint-2 is of type '=' we should add artificial variable A1


After introducing slack,artificial variables

Max Z=-30x1+50x2-10x3+0S1-MA1

subject to

-3x1-2x2+x3+S1=-44

x1-x2+x3+A1=7

and x1,x2,x3,S1,A1β‰₯0


Here not all Zj-Cjβ‰₯0. (BecauseZ1-C1=-M+30)

Hence, method fails to get optimal basic feasible solution.



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