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Electronic Colloquium on Computational Complexity

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TR17-041 | 6th March 2017
Amnon Ta-Shma

Explicit, almost optimal, epsilon-balanced codes

The question of finding an epsilon-biased set with close to optimal support size, or, equivalently, finding an explicit binary code with distance $\frac{1-\epsilon}{2}$ and rate close to the Gilbert-Varshamov bound, attracted a lot of attention in recent decades. In this paper we solve the problem almost optimally and show an ... more >>>


TR17-040 | 4th March 2017
Sivaramakrishnan Natarajan Ramamoorthy, Anup Rao

Non-Adaptive Data Structure Lower Bounds for Median and Predecessor Search from Sunflowers

Revisions: 2

We prove new cell-probe lower bounds for data structures that maintain a subset of $\{1,2,...,n\}$, and compute the median of the set. The data structure is said to handle insertions non-adaptively if the locations of memory accessed depend only on the element being inserted, and not on the contents of ... more >>>


TR17-039 | 28th February 2017
Marshall Ball, Alon Rosen, Manuel Sabin, Prashant Nalini Vasudevan

Average-Case Fine-Grained Hardness

We present functions that can be computed in some fixed polynomial time but are hard on average for any algorithm that runs in slightly smaller time, assuming widely-conjectured worst-case hardness for problems from the study of fine-grained complexity. Unconditional constructions of such functions are known from before (Goldmann et al., ... more >>>



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