Difference between revisions of "ApCoCoA-1:Latte.Maximize"

From ApCoCoAWiki
(Updated example.)
Line 18: Line 18:
  
 
<example>
 
<example>
Use S ::= QQ[x,y];
+
Use S ::= QQ[x,y,z];
 
Equations := [];
 
Equations := [];
 
LesserEq := [x-1, x+y-1];
 
LesserEq := [x-1, x+y-1];

Revision as of 11:18, 28 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,z];
Equations := [];
LesserEq := [x-1, x+y-1];
GreaterEq := [x,y];
ObjectiveF := x + z;
Latte.Maximize(Equations, LesserEq, GreaterEq, ObjectiveF);


GLPK.LPSolve