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pnav1-Visitor
1-Visitor
June 14, 2012
Question

Linear programming using minimize limitations

  • June 14, 2012
  • 1 reply
  • 3869 views

Linear programming using Minimize is very limited in term of the size of the problem that can be addressed. number of variabls and constraint space dimension are very small. Is there any plan in making this feature more robust and scalable ?

1 reply

V
24-Ruby IV
ValeryOchkov24-Ruby IV
24-Ruby IV
February 1, 2013

pierre navidi wrote:

Linear programming using Minimize is very limited in term of the size of the problem that can be addressed. number of variabls and constraint space dimension are very small. Is there any plan in making this feature more robust and scalable ?

Sorry, how many variables (not "very small") do you use or would like use in Mathcad?

P
pnav1-VisitorAuthor
1-Visitor
February 2, 2013

hi valery,

well for instance for the problem :

f being a function of u

given A.u=c

with bounds on u

solution := Minimize(f,u)

if Dimension of A is less than 50x75 solution is obtained,

when dimension for A is in excess of 50x75

then solution becomes red and showing (when you point onto it) : This variable is undefined...

V
24-Ruby IV
ValeryOchkov24-Ruby IV
24-Ruby IV
February 2, 2013

I think the matrix 50x75 in this problem is not so bad for Mathcad!

Can you attach the file or describe the problem?

A propos.

50 is the maximal number of arguments of the function Find, Minimize and others with variable number of arguments.

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