convergence tolerance for QC problems
Sets the tolerance on complementarity for convergence in quadratically constrained problems (QCPs).
Purpose
Convergence tolerance for quadratically constrained problems
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Description
Sets the tolerance on complementarity for convergence in quadratically constrained problems (QCPs). The barrier algorithm terminates with an optimal solution if the relative complementarity is smaller than this value.
Changing this tolerance to a smaller value may result in greater numerical precision of the solution, but also increases the chance of a convergence failure in the algorithm and consequently may result in no solution at all. Therefore, caution is advised in deviating from the default setting.
Values
Any positive number greater than or equal to 1e-12; default: 1e-7.
For LPs and for QPs (that is, when all the constraints are linear) see convergence tolerance for LP and QP problems.