On 2013-03-26, tvn nguyenthanh...@gmail.com wrote:
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I am trying to play around with MixedIntegerLinearProgram but now sure how
to add constraints properly to it. My input is a list of relations , e.g.
csts
On Tuesday, March 26, 2013 4:13:39 AM UTC-6, Dima Pasechnik wrote:
On 2013-03-26, tvn nguyent...@gmail.com javascript: wrote:
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I am trying to play around with MixedIntegerLinearProgram but now sure
Helloo !!!
ok -- from here, what is the easiest way to add csts to p ?
Does this help ? It uses the fact that when you have any hashable object x
in Sage you can create an associated LP variable by writing p[x] :
sage: p = MixedIntegerLinearProgram()
sage: (x= 5).rhs()
5
sage:
Hi Nathan, it doesn't work if my constraint is say 2l + 3u - 8 = 0 ?
It seems I cant get around the hard work of 1) from the original cst,
figureout the variables (l,u) , then declare those variables with p ,
then recreate a list of linear constraints using the original csts and the
Hi Nathan, it doesn't work if my constraint is say 2l + 3u - 8 = 0 ?
No... It just works for all kind of constraints that you have given so far
It seems I cant get around the hard work of 1) from the original cst,
figureout the variables (l,u) , then declare those variables with p
Dima Nathann
What he's facing is an annoyance. Would it be feasible (ha ha) to rewrite
the creation of constraints so that variables are automatically created in
the LP if they're not there? That is, rather than looking for a workaround
for the user, should we see this as an opportunity for
Yes -- it would be very convenient for the users. For example, applying
solve() on a a set of linear equations probably do some preprocessing to
turn them into more efficient format and send it to some specialize
solver. But all those steps happen behind the scene , the only thing I
give
On 2013-03-26, tvn nguyenthanh...@gmail.com wrote:
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Yes -- it would be very convenient for the users. For example, applying
solve() on a a set of linear equations probably do some preprocessing to
turn
