Prior to this work, no worst case hardness result was known for LPN (as opposed to syntactically similar problems such as Learning with Errors). The caveat is that this worst case problem is only mildly hard and in particular admits a quasi-polynomial time algorithm, whereas the LPN variant ...
Prior to this work, no worst case hardness result was known for LPN (as opposed to syntactically similar problems such as Learning with Errors). The caveat is that this worst case problem is only mildly hard and in particular admits a quasi-polynomial time algorithm, whereas the LPN variant ...
Worst-Case Disjunctive Search.Our first solution, which we call IEX, is a worst-case sub-linear disjunctive SSE scheme. While it leaks more than the naive response-hiding solution, we stress that it achievesoptimalcommunication complexity which, for response-hiding schemes, is the main tradeoff w...
I thought it was common sense to run problem statements through generative AI to make sure they aren't instantly solved, but I guess not for today's problem writers. And then after all this, we're hit with just about the most standard ternary search question in existence? It's not even...
The algorithms presented in this paper improve the theoretical asymptotic worst case running time bounds for a large family of important problems. It is also possible that the suggested techniques could be applied to yield a practical speedup for these problems. For some of the problems (such as...
On the single-operation worst-case time complexity of the disjoint set union problem. We give an algorithm for the disjoint set union problem, within the class of algorithms defined by Tarjan, which has O(log n/loglog n) single-operation tim... N Blum - Springer-Verlag 被引量: 130发表:...
to Analyze Algorithm Performance Based on the Worst-case Instances - Jeon, Kim - 2010 () Citation Context ...emert [8] tried to find the worst case of some algorithms for binary constraint satisfaction, Boolean satisfiability, and the travelling salesperson problem, in terms of time complexity....
For moderate fast dynamics the min-max problem can be solved numerically only when the number of extreme realizations of the uncertainty is relatively low. This is the case when the prediction horizon is small or when a complexity reduction strategy like that of [8] is used. When fast ...
Prior to this work, no worst case hardness result was known for LPN (as opposed to syntactically similar problems such as Learning with Errors). The caveat is that this worst case problem is only mildly hard and in particular admits a quasi-polynomial time algorithm, whereas the LPN variant ...
to Analyze Algorithm Performance Based on the Worst-case Instances - Jeon, Kim - 2010 () Citation Context ...emert [8] tried to find the worst case of some algorithms for binary constraint satisfaction, Boolean satisfiability, and the travelling salesperson problem, in terms of time complexity....