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Model.addGenConstrExp()

addGenConstrExp ( xvar, yvar, name="", options="" )

Add a new general constraint of type GRB.GENCONSTR_EXP to a model.

A natural exponential function constraint states that the relationship <span>$</span>y = exp(x)<span>$</span> should hold for variables <span>$</span>x<span>$</span> and <span>$</span>y<span>$</span>.

A piecewise-linear approximation of the function is added to the model. The details of the approximation are controlled using the following four attributes (or using the parameters with the same names): FuncPieces, FuncPieceError, FuncPieceLength, and FuncPieceRatio. For details, consult the General Constraint discussion.

Arguments:

xvar (Var): The <span>$</span>x<span>$</span> variable.

yvar (Var): The <span>$</span>y<span>$</span> variable.

name (string, optional): Name for the new general constraint.

options (string, optional): A string that can be used to set the attributes that control the piecewise-linear approximation of this function constraint. To assign a value to an attribute, follow the attribute name with an equal sign and the desired value (with no spaces). Assignments for different attributes should be separated by spaces (e.g. "FuncPieces=-1 FuncPieceError=0.001").

Return value:

New general constraint.

Example usage:

  # y = exp(x)
  gc = model.addGenConstrExp(x, y)

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