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T. Husfeldt and T. Rauhe. Hardness of dynamic computation. Manuscript, 1997.

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This paper is cited in the following contexts:
Searching Constant Width Mazes Captures the AC° Hierarchy - Barrington, Lu, Miltersen, .. (1997)   (Correct)

.... If the width is a free parameter m, with the restriction 2 m r, the follow ing is known: Eppstein et al. [6] construct a data structure with a time bound of O(1 r) per operation and Eppstein [5] shows a lower bound of fl(log m log log m) This lower bound is improved by Husfeldt and Rauhe [8] to fl(m) provided m log r loglogr. As we pointed out, our upper bound is 2 2( loglog r. This improves the general bound only for m log log log r. From Beanie and Fich [3] follows a lower bound of fl(log log r log log log r) provided m 2. Combining every thing, we get an upper bound ....

T. Husfeldt and T. Rauhe. Hardness of dynamic computation. Manuscript, 1997.


Searching constant width mazes captures the AC0 hierarchy - Barrington, Lu, Miltersen, .. (1998)   (4 citations)  (Correct)

.... width is a free parameter m, with the restriction 2 m n, the following is known: Eppstein et al. [6] construct a data structure with a time bound of O(log n) per operation and Eppstein [5] shows a lower bound of Omega Gamma 34 m= log log m) This lower bound is improved by Husfeldt and Rauhe [8] to Omega Gamma m) provided m log n= log log n. As we pointed out, our upper bound is 2 2 O(m) log log n. This improves the general bound only for m log log log n. From Beame and Fich [3] follows a lower bound of Omega Gamma 29 log n= log log log n) provided m 2. Combining everything, we ....

T. Husfeldt and T. Rauhe. Hardness of dynamic computation. Manuscript, 1997.

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