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Defining, posting and propagating linear constraints

Description
  • linctr.mos - Posting and propagating linear constraints
  • scalar_product.mos - Using 'dot' for the formulation of the scalar/dot product between an array of decision variables and an array of reals or integers
Further explanation of this example: 'Xpress Kalis Mosel Reference Manual'


Source Files
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linctr.mos[download]
scalar_product.mos[download]





linctr.mos

(!****************************************************************
   CP example problems
   ===================
   
   file linctr.mos
   ```````````````
   Posting and propagating linear constraints.

   (c) 2008 Artelys S.A. and Fair Isaac Corporation
       Creation: 2005, rev. Mar. 2013
*****************************************************************!)
model "Linear constraints"
 uses "kalis"

 declarations
  N = 3
  R = 1..N
  x: array(R) of cpvar
  c1: cpctr
 end-declarations  

 forall(i in R) do
  0 <= x(i); x(i) <= 50
  setname(x(i), "x"+i)
 end-do

! Automated post+propagation
 x(1) >= x(3) + 5
 writeln(x(1), " ", x(3))
 
! Named constraint (explicit post)
 c1:= x(3) >= x(2) + 10 
 
 if cp_post(c1) then
  writeln("With constraint c1: ", x)
 else exit(1)
 end-if            

! Stop automated propagation
 setparam("kalis_auto_propagate", false)

! Automated post w/o propagation
 x(2) >= 10
 writeln("new bound for x2: ", x) 
 if cp_propagate then
  writeln("after propagation: ", x) 
 end-if

! Minimize the value of x(1)
 if cp_minimize(x(1)) then
  write("Solution: ")
  forall(i in R) write(getsol(x(i)), " ")
  writeln  
 end-if
end-model

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