2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/30682We present new algorithms to compute fundamental properties of a Boolean function given in truth-table form. Specifically, we give an O(N^2.322 log N) algorithm for block sensitivity, an O(N^1.585 log N) algorithm for `tree decomposition,' and an O(N) algorithm for `quasisymmetry.' These algorithms are based on new insights into the structure of Boolean functions that may be of independent interest. We also give a subexponential-time algorithm for the space-bounded quantum query complexity of a Boolean function. To prove this algorithm correct, we develop a theory of limited-precision representation of unitary operators, building on work of Bernstein and Vazirani.13 pages, no figures, earlier version submitted to SIAM J. CompComputational ComplexityData Structures and AlgorithmsF.1.2; F.1.3; F.2.2text