On 11-03-2013, at 23:31, Pavel_K kuk...@vsb.cz wrote:
Dear all,
I am trying to find the solution for the optimization problem focused on the
finding minimum cost.
I used the solution proposed by excel solver, but there is a restriction in
the number of variables.
My data consists of 300
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Pavel_K kuk064 at vsb.cz writes:
Dear all,
I am trying to find the solution for the optimization problem focused on
the finding minimum cost.
I used the solution proposed by excel solver, but there is a restriction
in the number of variables.
My data consists of 300 rows represent cities
to
this list).
Berend
Thank you
Pavel
example.xls http://r.789695.n4.nabble.com/file/n4661019/example.xls
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confused here about how can I treat with the variables firms.
Thanks
Pavel
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On 26-10-2012, at 21:41, Richard James wrote:
That solution works very well.
The only issue is that 'rnorm' occasionally generates negative values which
aren't logical in this situation.
Try another random generator.
Lognormal, uniform, ...
Is there a way to set a lower limit of
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On 26-10-2012, at 12:50, Richard James wrote:
Dear Berend and Thomas,
thank you for suggesting the lsei function. I found that the tlsce {BCE}
function also works very well:
library(BCE)
tlsce(A=bmat,B=target)
The limSolve package has an 'xsample' function for generating uncertainty
On 26-10-2012, at 12:50, Richard James wrote:
Dear Berend and Thomas,
thank you for suggesting the lsei function. I found that the tlsce {BCE}
function also works very well:
library(BCE)
tlsce(A=bmat,B=target)
The limSolve package has an 'xsample' function for generating uncertainty
That solution works very well.
The only issue is that 'rnorm' occasionally generates negative values which
aren't logical in this situation.
Is there a way to set a lower limit of zero?
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Thomas
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On 21-10-2012, at 13:37, Thomas Schu wrote:
Dear Richard,
It is funny. I have to perform the approach of sediment fingerprinting for
my master thesis. Mr. Hasselman gave me the advice to take a closer look
into the limSolve package a few days ago.
Dear Berend,
Many thanks for taking your time to assist with this optimization problem.
I'll work on data this week and let you know how I get on.
Again, many thanks
Richard
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appreciated.
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