We study a class of functional problems reducible to computing f(n)(x) for inputs n and x, where f is a polynomial-time bijection. As we prove, the definition is robust against variations in the type of reduction used in its definition, and in whether we require f to have a polynomial-time inverse or to be computible by a reversible logic circuit. These problems are characterized by the complexity class FPPSPACE, and include natural FPPSPACE-complete problems in circuit complexity, cellular automata, graph algorithms, and the dynamical systems described by piecewise-linear transformations.