Algorithm Selection

Analytica Optimizer GuideAlgorithm Selection

Preprocessing

Scaling

When this is True, the Optimizer attempts to rescale decision variables and constraints internally for the simplex algorithm, which usually leads to be reliable results and fewer iterations. A poorly scaled model, in which values of the objective, constraints, or intermediate results differ by several orders of magnitude, can result in numeric instabilities within the Optimizer when scaling is turned off, due to the effects of finite precision computer arithmetic.

Default: False

Allowed range: 0 or 1

Presolve

When this is True, the LP/Quadratic engine performs a presolve step to detect singleton rows and columns, remove fixed variables and redundant constraints, and tighten bounds, prior to applying the simplex method. Default: True Allowed range: 0 or 1 Engine: LP/Quadratic PreProcess Turns on or off all integer pre-processing (on by default). Default: 1 Allowed range: 0 or 1 Engine: LP/Quadratic

Optimizer Function ReferenceAlgorithm SelectionNumeric Tolerance and Precision