Constant-factor approximation to maximum matching size requires nearly linear samples in m but only O(log^2 n) space using recursive peeling simulation, improving prior polylog approximation.
Towards a unified theory of sparsification for matching problems
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Space Efficient Approximation to Maximum Matching Size from Uniform Edge Samples
Constant-factor approximation to maximum matching size requires nearly linear samples in m but only O(log^2 n) space using recursive peeling simulation, improving prior polylog approximation.