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Abstract: An $O(\sqrt{n})$-Approximation Algorithm for Directed Sparsest Cut
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An <math xmlns='http://www.w3.org/1998/Math/MathML'>
<mi>O</mi>
<mo>(</mo><msqrt><mrow><mi>n</mi>
</mrow></msqrt><mo>)</mo>
</math>-Approximation Algorithm for Directed Sparsest Cut
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<b>Mohammad Taghi Hajiaghayi and Harald R&#228;cke</b>
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We give an <math xmlns='http://www.w3.org/1998/Math/MathML'><mi>O</mi><mo>(</mo><msqrt><mrow><mi>n</mi></mrow></msqrt><mo>)</mo></math>-approximation algorithm for the Sparsest
Cut Problem on directed graphs.



A na&#x000EF;ve reduction from Sparsest Cut to Minimum Multicut would only
give an approximation ratio of <math xmlns='http://www.w3.org/1998/Math/MathML'><mi>O</mi><mo>(</mo><msqrt><mrow><mi>n</mi></mrow></msqrt><mspace width="thinmathspace"/><mo lspace="0em" rspace="thinmathspace">log</mo><mi>D</mi><mo>)</mo></math>,

where <math xmlns='http://www.w3.org/1998/Math/MathML'><mi>D</mi></math> is the sum of the demands. We obtain the improvement using
a novel LP-rounding method for fractional Sparsest Cut, the dual of
Maximum Concurrent Flow.
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<b>Keywords:</b> approximation algorithms, directed graphs, sparsest
cut, multicommodity flow.
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