Small Progress Measures is one of the most efficient parity game solving
algorithms. The original algorithm provides the full solution (winning regions
and strategies) in O(dmβ (n/βd/2β)βd/2β)
time, and requires a re-run of the algorithm on one of the winning regions. We
provide a novel operational interpretation of progress measures, and modify the
algorithm so that it derives the winning strategies for both players in one
pass. This reduces the upper bound on strategy derivation for SPM to O(dmβ (n/βd/2β)βd/2β).Comment: polished the tex