OV

Given nn vectors in {0,1}O(logn)\{0,1\}^{O(\log n)}, are two of them orthogonal

Parameters

  • nn: number of vectors
  • dd: dimension of each vector; d=O(log(n))d = O(log(n)) typically

Filters

Computational Model

Randomization

Approximation

Algorithms Table

Displaying 2 of 2 algorithms

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Chan, Williams2016O(n(21/O(d/log(n))))O(n^{(2-1/O(d/log(n)))})
Abboud, Williams, Yu2015O(n(21/O(d/log(n))))O(n^{(2-1/O(d/log(n)))})

Reductions Table

Displaying 18 of 18 reductions

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