The document proposes methods to accelerate PageRank computations by extrapolating from successive PageRank iterates. It presents the power method for computing PageRank and its convergence properties. The key idea is to estimate components of the current iterate using the next few iterates, eliminating coefficients of less dominant eigenvectors to isolate the principal eigenvector corresponding to PageRank. Empirical results show quadratic extrapolation can speed up convergence, making the approach useful for related problems requiring rapidly computed principal eigenvectors.