A CONGEST algorithm estimates graph conductance to a sqrt(2.01) factor in O(log^2 n / phi) rounds by approximating Laplacian eigenvalues with the power method.
We investigate the numerical stability of this case
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Distributed Sparsest Cut via Eigenvalue Estimation
A CONGEST algorithm estimates graph conductance to a sqrt(2.01) factor in O(log^2 n / phi) rounds by approximating Laplacian eigenvalues with the power method.