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pnav1-Visitor
1-Visitor
June 14, 2012
Question

Linear programming using minimize limitations

  • June 14, 2012
  • 1 reply
  • 3915 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
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
ValeryOchkov24-Ruby IV
24-Ruby IV
February 3, 2013

pierre navidi wrote:

well not so much...

as a consequence i am using matlab to solve the same type of problems now, with same laptop (64 bits win7pro 4G RAM), i handle arrays in excess of 5000 terms...

I understand it - MATLAB is matrix laboratory (when it is created).

But to be more precise, now MATLAB is a programming language for technical computing.

Mathcad is not a a programming language!

We can compare Mathcad and Matlab, but this is (as minimum) incorrect and (as maximum), sorry, dishonestly.

I would like to have on my computer one unit - Mathlab but I must to have Mathcad and Matlab (and Maple for symbolic calculation) and more others.

Compare please Matlab and Maple (or Mathematica) on one symbolic task!

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