We look at time-space tradeoffs for the static membership problem in the bit-probe model. The problem is to represent a set of size up to n from a universe of size m using a small number of bits so that given an element of the universe, its membership in the set can be determined with as few bit probes to the representation as possible. We show several deterministic upper bounds for the case when the number of bit probes, is small, by explicit constructions, culminating in one that uses o(m) bits of space where membership can be determined with [lg lgn] + 2 adaptive bit probes. We also show two tight lower bounds on space for a restricted two probe adaptive scheme
In the cell probe model with word size 1 (the bit probe model), a static data structure problem is g...
Abstract. This paper deals with the problem of storing a subset of elements from the bounded univers...
An approximate membership data structure is a randomized data structure representing a set which sup...
We study the following set membership problem in the bit probe model: given a set S from a finite un...
We consider the bit-probe complexity of the set membership problem: represent an n-element subset S ...
We study the it static membership problem: Given a set S of at most n keys drawn from a universe U o...
A common problem in computer science is how to efficiently store sets: when given a set, how do you ...
Studies the quantum complexity of the static set membership problem: given a subset S (|S|≤n) of a u...
We study two data structuring problems under the bit probe model: the dynamic predecessor problem an...
AbstractThis work present several advances in the understanding of dynamic data structures in the bi...
The bit probe complexity of a static data structure problem within a given size bound was defined b...
AbstractWe consider time-space tradeoffs for static data structure problems in the cell probe model ...
We present the first linear lower bound for the number of bits required to be accessed in the worst ...
AbstractWe consider a fundamental problem in data structures, static predecessor searching: Given a ...
We study data structures in the presence of adversarial noise. We want to encode a given object in a...
In the cell probe model with word size 1 (the bit probe model), a static data structure problem is g...
Abstract. This paper deals with the problem of storing a subset of elements from the bounded univers...
An approximate membership data structure is a randomized data structure representing a set which sup...
We study the following set membership problem in the bit probe model: given a set S from a finite un...
We consider the bit-probe complexity of the set membership problem: represent an n-element subset S ...
We study the it static membership problem: Given a set S of at most n keys drawn from a universe U o...
A common problem in computer science is how to efficiently store sets: when given a set, how do you ...
Studies the quantum complexity of the static set membership problem: given a subset S (|S|≤n) of a u...
We study two data structuring problems under the bit probe model: the dynamic predecessor problem an...
AbstractThis work present several advances in the understanding of dynamic data structures in the bi...
The bit probe complexity of a static data structure problem within a given size bound was defined b...
AbstractWe consider time-space tradeoffs for static data structure problems in the cell probe model ...
We present the first linear lower bound for the number of bits required to be accessed in the worst ...
AbstractWe consider a fundamental problem in data structures, static predecessor searching: Given a ...
We study data structures in the presence of adversarial noise. We want to encode a given object in a...
In the cell probe model with word size 1 (the bit probe model), a static data structure problem is g...
Abstract. This paper deals with the problem of storing a subset of elements from the bounded univers...
An approximate membership data structure is a randomized data structure representing a set which sup...