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</script>doi: 10.1109/focs.2008.69
We show that a large fraction of the data-structure lower bounds known today in fact follow by reduction from the communication complexity of lopsided (asymmetric) set disjointness! This includes lower bounds for: (a) high-dimensional problems, where the goal is to show large space lower bounds; (b) constant-dimensional geometric problems, where the goal is to bound the query time for space O(n polylg n); (c) dynamic problems, where we are looking for a trade-off between query and update time. (In this case, our bounds are slightly weaker than the originals, losing a lglg n factor.) Our reductions also imply the following new results: (a) an Omega(lg n / lg lg n) bound for 4-dimensional range reporting, given space O(n ldr poly lg n). This is very timely, since a recent result [Nekrich, SoCG'07] solved 3D reporting in near-constant time, raising the prospect that higher dimensions could also be easy; (b) a tight space lower bound for the partial match problem, for constant query time.(c) the first lower bound for reachability oracles.
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 22 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
