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Basic LP/MIP solver interface for Xpress Optimizer

Description
Language extensions provided by this module:
  • type: extension of mpproblem
  • subroutines: procedures and functions
  • implementation of a callback function
  • services: reset, unload, accessing and enumerating parameters
  • parameters: real, integer, boolean
  • constants: integer


Source Files
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myxprs.c[download]

Data Files





myxprs_test.mos

(!******************************************************
   Mosel NI Examples
   =================

   File myxprs_test.mos
   ````````````````````
   Using module myxprs to solve an optimization problem.
   - Defining an INTSOL callback
   - Writing out the matrix from the solver

   (c) 2022 Fair Isaac Corporation
       author: Y. Colombani, S. Heipcke, Oct 2017
*******************************************************!)
model "Problem solving and solution retrieval"
  uses "myxprs"                       ! Load the solver module

  declarations
    x,y: mpvar                        ! Some decision variables
  end-declarations

 ! ******** Implementation of a callback routine ********
  procedure intsol
    writeln("!!! New solution !!!")
    writeln("x=", getsol(x), "; y=", getsol(y),
      "; obj=", getparam("myxp_lpobjval"))
  end-procedure

 ! **** Definition of a MIP problem ****
  Ctr1:= 3*x + 2*y <= 450  
  Ctr2:= x + 3*y <= 300
  MyObj:= 5*x + 20*y
  x is_integer; y is_integer

 ! Define a solver callback (invoked whenever an integer solution is found)
  setcbintsol(->intsol)

 ! Setting solver parameters
!  setparam("myxp_verbose", true)      ! Display solver log
  setparam("myxp_timelimit", 10)       ! Set a time limit

 ! Solve the problem (includes matrix generation)
  maximize(MyObj)
 ! Retrieve a solver parameter
  writeln("Solver status: ", getparam("myxp_mipstatus"))
 ! Access solution information
  if getprobstat = MYXP_OPT then
    writeln("Solution: ", getobjval, "; ", x.sol, "; ", y.sol)  
  else
    writeln("No solution found")
  end-if

 ! Matrix output using default names
  writeprob("test1.lp", "l")

 ! Remove callback definition
  setcbintsol("")

 ! Matrix output with names generation
  setparam("myxp_loadnames", true)
  maximize(5*x + 20*y)
  writeprob("test2.lp", "l")

end-model

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