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We 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.

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