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Overview of Mosel examples for 'Business Optimization' book Description List of FICO Xpress Mosel implementations of examples discussed in the book 'J. Kallrath: Business Optimization Using Mathematical Programming - An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages' (2nd edition, Springer, Cham, 2021, DOI 10.1007/978-3-030-73237-0). List of provided model files(Examples marked with * are newly introduced in the 2nd edition, all other models have been converted from the mp-model versions that were provided with the 1st edition of the book in 1997.)
Source Files By clicking on a file name, a preview is opened at the bottom of this page. Data Files absval.mos
(!*********************************************************************
Mosel Example Problems
======================
file absval.mos
```````````````
Absolute values: formulation of maximize( |x1-2*x2| )
Example discussed in section 6.5 of
J.Kallrath and J.M.Wilson: Business Optimisation Using Mathematical
Programming, 2nd ed, Springer 2020
author: S. Heipcke, June 2018
(c) Copyright 2020 Fair Isaac Corporation
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*********************************************************************!)
model 'absval'
uses "mmxprs"
declarations
B1= 3 ! Bound on x1
B2= 4 ! Bound on x2
A= 10 ! Upper bound on the abs. value expression
x1, x2: mpvar ! Decision variables
aP: mpvar ! The a+ variable
aM: mpvar ! The a- variable
delta: mpvar ! Whether x2 is positive or negative
end-declarations
Profit:= aP + aM ! Objective function
Coupling:= x1 -2*x2 = aP - aM ! Reformulation of |x1-2*x2|
C1:= aP<= A*delta ! The restriction on a+
C2:= aM<= A*(1-delta) ! The restriction on a-
delta is_binary
x1<= B1
x2<= B2
maximise(Profit) ! Solve the problem
writeln("Solution: ", getobjval)
writeln("x1=", x1.sol, ", x2=", x2.sol, ", |x1-2*x2|=", abs(getsol(x1-2*x2)))
writeln("aux. variables: delta=", delta.sol, ", aP=", aP.sol, ", aM=", aM.sol)
end-model
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