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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...

P
pnav1-VisitorAuthor
1-Visitor
February 3, 2013

Dear valery,

Thank you for the explanation.

I am not comparing mathcad and matlab.

As you may see, the title of my post is about linear programming so there is "programming", so i should have taken matlab from the onset, yet i always go naturally toward mathcad, and i was a bit disapointed...

This was the reason of my post, which was directed to mathcad devleopers so that thy can extend minimize function possibilities, as i see no reason why it is so limited..

The reason i go first to mathcad is that I am using mathcad since version 0.9 !! this was back in 1985 on DOS !!! at that time no symbolic tough and maple was a separate product,

I like very much mathcad for prototyping algorithms and ideas. Symbolic can help sometime....

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