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We introduce a fast implementation of the pivot algorithm for self-avoiding walks, which we use to obtain large samples of walks on the cubic lattice of up to 33x106 steps. Consequently the critical exponent nu for three-dimensional self-avoiding walks is determined to great accuracy; the final estimate is nu=0. 587 597 (7). The method can be adapted to other models of polymers with short-range interactions, on the lattice or in the continuum.
Nathan Clisby (Mon,) studied this question.