On the generic complexity of the decoding problem for linear codes

Generic-case approach to algorithmic problems was introduced by Miasnikov, Kapovich, Schupp and Shpilrain in 2003. This approach studies behavior of an algorithm on typical (almost all) inputs and ignores the rest of inputs. Many classical undecidable or hard algorithmic problems become feasible in the generic case. But there are generically hard problems. In this paper, we consider generic complexity of the decoding problem for linear codes over finite fields. We fit this problem in the frameworks of generic complexity and prove that its natural subproblem is generically hard provided that this problem is hard in the worst case.