AbstractThis work present several advances in the understanding of dynamic data structures in the bit-probe model: •We improve the lower bound record for dynamic language membership problems to Ω((lgnlglgn)2). Surpassing Ω(lgn) was listed as the first open problem in a survey by Miltersen.•We prove a bound of Ω(lgnlglglgn) for maintaining partial sums in Z/2Z. Previously, the known bounds were Ω(lgnlglgn) and O(lgn).•We prove a surprising and tight upper bound of O(lgnlglgn) for the greater-than problem, and several predecessor-type problems. We use this to obtain the same upper bound for dynamic word and prefix problems in group-free monoids. We also obtain new lower bounds for the partial-sums problem in the cell-probe and external-memory...
In this work, we continue the examination of the role non-adaptivity plays in maintaining dynamic da...
Abstract The cell probe model is a general, combinatorial model of data structures. We give a survey...
A common problem in computer science is how to efficiently store sets: when given a set, how do you ...
AbstractThis work present several advances in the understanding of dynamic data structures in the bi...
We study the complexity of the dynamic partial sum problem in the cell-probe model. We give the mode...
We introduce new models for dynamic computation based on the cell probe model of Fredman and Yao. We...
We give a number of new lower bounds in the cell probe modelwith logarithmic cell size, which entail...
Abstract We introduce new models for dynamic computation based on the cell probe model of Fredman an...
The bit probe complexity of a static data structure problem within a given size bound was defined b...
In the cell probe model with word size 1 (the bit probe model), a static data structure problem is g...
We revisit the complexity of online computation in the cell probe model. We consider a class of pro...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
We study two data structuring problems under the bit probe model: the dynamic predecessor problem an...
We consider the bit-probe complexity of the set membership problem: represent an n-element subset S ...
AbstractWe consider time-space tradeoffs for static data structure problems in the cell probe model ...
In this work, we continue the examination of the role non-adaptivity plays in maintaining dynamic da...
Abstract The cell probe model is a general, combinatorial model of data structures. We give a survey...
A common problem in computer science is how to efficiently store sets: when given a set, how do you ...
AbstractThis work present several advances in the understanding of dynamic data structures in the bi...
We study the complexity of the dynamic partial sum problem in the cell-probe model. We give the mode...
We introduce new models for dynamic computation based on the cell probe model of Fredman and Yao. We...
We give a number of new lower bounds in the cell probe modelwith logarithmic cell size, which entail...
Abstract We introduce new models for dynamic computation based on the cell probe model of Fredman an...
The bit probe complexity of a static data structure problem within a given size bound was defined b...
In the cell probe model with word size 1 (the bit probe model), a static data structure problem is g...
We revisit the complexity of online computation in the cell probe model. We consider a class of pro...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
We study two data structuring problems under the bit probe model: the dynamic predecessor problem an...
We consider the bit-probe complexity of the set membership problem: represent an n-element subset S ...
AbstractWe consider time-space tradeoffs for static data structure problems in the cell probe model ...
In this work, we continue the examination of the role non-adaptivity plays in maintaining dynamic da...
Abstract The cell probe model is a general, combinatorial model of data structures. We give a survey...
A common problem in computer science is how to efficiently store sets: when given a set, how do you ...