Initializing help system before first use

problem.getScaledInfeas

Purpose
Returns a list primal and dual variables that are infeasible for the scaled original problem. If the problem is currently presolved, it is postsolved before the function returns.
Topic areas
LP, Numerics
Synopsis
x, slack, duals, djs = problem.getScaledInfeas()
Error value
422 
A solution is not available.
Related controls
Double
Tolerance on RHS.
Reduced cost tolerance.

Related controls
Integer
Type of scaling

Return value
Integer array containing the indices of the primal infeasible variables.
slack 
Integer array containing the indices of the primal infeasible rows.
duals 
Integer array containing the indices of the dual infeasible rows.
djs 
Integer array containing the indices of the dual infeasible variables.
Further information
1. The returned row/column indices range from 0 to ORIGINALROWS-1/ ORIGINALCOLS-1.
2. This function is the same as problem.getInfeas, except it checks for infeasibility before unscaling the problem. The two functions will behave differently only when scaling before presolve has been enabled, by setting bit 9 in SCALING.
3. This function applies to linear and convex quadratic (including second order conic) problems only.
Related topics

© 2001-2025 Fair Isaac Corporation. All rights reserved. This documentation is the property of Fair Isaac Corporation (“FICO”). Receipt or possession of this documentation does not convey rights to disclose, reproduce, make derivative works, use, or allow others to use it except solely for internal evaluation purposes to determine whether to purchase a license to the software described in this documentation, or as otherwise set forth in a written software license agreement between you and FICO (or a FICO affiliate). Use of this documentation and the software described in it must conform strictly to the foregoing permitted uses, and no other use is permitted.