
arXiv: 1208.4041
In this article, we study the complexity of the problems: given a loop, described by linear constraints over a finite set of variables, is there a linear or lexicographical-linear ranking function for this loop? While existence of such functions implies termination, these problems are not equivalent to termination. When the variables range over the rationals (or reals), it is known that both problems are PTIME decidable. However, when they range over the integers, whether for single-path or multipath loops, the complexity has not yet been determined. We show that both problems are coNP-complete. However, we point out some special cases of importance of PTIME complexity. We also present complete algorithms for synthesizing linear and lexicographical-linear ranking functions, both for the general case and the special PTIME cases. Moreover, in the rational setting, our algorithm for synthesizing lexicographical-linear ranking functions extends existing ones, because our definition for such functions is more general, yet it has PTIME complexity.
termination, FOS: Computer and information sciences, Logic in Computer Science, Analysis of algorithms and problem complexity, linear constraints, Logic in Computer Science (cs.LO), F.2.0; F.3.1, Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.), Programming Languages, ranking functions, Programming Languages (cs.PL)
termination, FOS: Computer and information sciences, Logic in Computer Science, Analysis of algorithms and problem complexity, linear constraints, Logic in Computer Science (cs.LO), F.2.0; F.3.1, Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.), Programming Languages, ranking functions, Programming Languages (cs.PL)
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