Hi
Thank you very much.
So sorry for the badly writing an example.
Let assume we are modelling in a quadratic programming framework. So we have
min 1/2xHx + fx subject to: Ax=<b
Here A is a matrix. Therefore the questions are valid here.
[EMAIL PROTECTED] wrote:
hi Amir
please see inline answers
Amir Safari <[EMAIL PROTECTED]>
Sent by: [EMAIL PROTECTED] 08/14/2007 02:37 PM
To
R-help@stat.math.ethz.ch cc
Subject
[R] Slack variable in OR
Hi dear R users,
@@@ although i have not understood your problemos clearly whatever i can help,
i will tell
Is it basically correct that a problem is ( linearly on nonlinearly ) modeled
so that the slack variable is bounded by an upper bound ?
If so, how it can be handled and coded practically ?
for example:
x1+ x2 =< b so ----> x1 + x2 + s=b
s=b- x1 - x2
b- x1 - x2 =< upper value
@@@ i assume that x1 and x2 are >= 0, which is usually the case
@@@ then in that case if both x1=x2=0 then x3=50 .... which is its meximum
value
But algorithms can not calculate b- x1 - x2 , because the matrices are not
compatible. Or how can it be well coded ?
@@@ where are the matrices i am just asking :-)
Thank you so much.
Amir
---------------------------------
Boardwalk for $500? In 2007? Ha!
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