ApCoCoA-1:Latte.Maximize: Difference between revisions

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</description>
</description>
<types>
<types>
   <type>cocoaserver</type>
   <type>apcocoaserver</type>
</types>
</types>
<see>GLPK.LPSolve</see>
<see>GLPK.LPSolve</see>

Revision as of 15:59, 23 April 2009

Latte.Maximize

Maximizes the objective function over a polyhedral P given by a number of linear constraints

Syntax

Latte.Maximize(Equations: LIST, LesserEq: LIST, GreaterEq: LIST, ObjectiveF: POLY):INT

Description

Please note: The function(s) explained on this page is/are using the ApCoCoAServer. You will have to start the ApCoCoAServer in order to use it/them.

  • @param Equations: A list of linear polynomials, which are equivalent to the equality-part of the polyhedral constraints

  • @param LesserEq: A list of linear polynomials, which are equivalent to the lower or equal-part of the polyhedral constraints

  • @param GreaterEq: A list of linear polynomials, which are equivalent to the greater or equal-part of the polyhedral constraints

  • @param ObjectiveF: A linear Polynomial

  • @return The optimal value of the objective function

Example

Use S ::= QQ[x,y];
Equations := [];
LesserEq := [x-1, x+y-1];
GreaterEq := [x,y];
ObjectiveF := x + z;
Latte.Maximize(Equations, LesserEq, GreaterEq, ObjectiveF);


GLPK.LPSolve