An auxiliary conic optimization problem searches for strict feasibility before following a central path. Given , minimizing subject to and has a strict feasible start for sufficiently large . Any feasible solution with certifies . If the original problem is strictly feasible, a small negative is feasible. Equality constraints and dual feasibility require their corresponding auxiliary procedures.

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