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Change in linear programming syntax

asked 2015-02-24 07:35:43 -0500

calc314 gravatar image

Until the recent update in SMC to the latest version of Sage, the following would work:

p = MixedIntegerLinearProgram()
x=p.new_variable(nonnegative=True)
y=p.new_variable(nonnegative=True)
z=p.new_variable(nonnegative=True)
p.set_objective(x + y+ 3*z)

This now gives an error saying that * and + are not defined for these objects.

The following does work, however:

p = MixedIntegerLinearProgram()
x=p.new_variable(nonnegative=True)
y=p.new_variable(nonnegative=True)
z=p.new_variable(nonnegative=True)
p.set_objective(x[0] + y[0]+ 3*z[0])

So, are all new variables in an MILP assumed to be arrays? Is there are way to work with variables as in my first example without using subscripts? (This is mainly for teaching purposes.)

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answered 2015-02-24 08:24:12 -0500

Nathann gravatar image

I am surprised to hear that the first syntax used to work O_o

This being said, you are not completely lost with the array syntax, e.g.:

 sage: p=MixedIntegerLinearProgram()
 sage: variables = p.new_variable(nonnegative=True)
 sage: x,y,z = variables['x'],variables['y'],variables['z']
 sage: p.set_objective(x + y+ 3*z)
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Okay. That makes sense. Thanks! Also, the new capacity to work with matrices is great!

calc314 gravatar imagecalc314 ( 2015-02-24 09:25:10 -0500 )edit

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Asked: 2015-02-24 07:35:43 -0500

Seen: 42 times

Last updated: Feb 24 '15