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Topic: Go from any vertex to any other vertex in one Simplex method pivot.
Replies: 2   Last Post: Jan 20, 2013 5:54 PM

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analyst41@hotmail.com

Posts: 117
Registered: 4/27/05
Go from any vertex to any other vertex in one Simplex method pivot.
Posted: Jan 19, 2013 9:46 PM
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Consider the LP

Max Z = x1 + x2

such that

0<=x1 <=1
0<=x2 <= 1.

If you start from (Z,x1,x2) = (0,0,0) to go the optimum (Z,x1,x2) =
(2,1,1) you need two pivots, because you can't go 'through" the unit
square under the Simplex method.

If you do the variable transformation

y1 = x1 +x2
y2 = x1 ? x2

x1 = (y1 + y2)/2
x2 = (y1 ? y2)/2

The LP becomes

Max Z = y1

Such that

0<= y1+y2 <= 2
0 <= (y1 ? y2)<= 2

After introduing slack variables t1,t2,s1,s2, we get

Z -y1 = 0
t1 - y1 - y2 = 0
s1 + y1 + y2 = 2
t2 - y1 + y2 = 0
s2 + y1 - y2 = 2

The BFS corresponding to this table

(Z,t1,t2,s1,s2,y1,y2) = (0,0,0,2,2,0,0) corresponds to (Z,x1,x2) =
(0,0,0) in the original LP.

Now a single pivot on y1 in row 3 produces the optimal table

Z +s1 +y2 = 2
t1 +s1 = 2
s1 +y1 +y2 = 2
t2 +s1 +2y2 = 2
-s1 + s2 -2y2 = 0

The BFS corresponding to this table

(Z,t1,t2,s1,s2,y1,y2) = (2,2,2,0,0,2,0) corresponds to (Z,x1,x2) =
( 2,1,1) in the original LP.

Thus, the optimum is reached in one pivot.

Any ideas to generalize to n dimensions would be appreciated.



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