We consider a range of simply stated dynamic data structure problems on strings. An update changes one symbol in the input and a query asks us to compute some function of the pattern of length m and a substring of a longer text. We give both conditional and unconditional lower bounds for variants of exact matching with wildcards, inner product, and Hamming distance computation via a sequence of reductions. As an example, we show that there does not exist an O(m1/2-e) time algorithm for a large range of these problems unless the online Boolean matrix-vector multiplication conjecture is false. We also provide nearly matching upper bounds for most of the problems we consider.</p
Given a static reference string R and a source string S, a relative compression of S with respect to...
Abstract We introduce new models for dynamic computation based on the cell probe model of Fredman an...
The longest common substring problem consists in finding a longest string that appears as a (contigu...
The text-to-pattern Hamming distances problem asks to compute the Hamming distances between a given ...
We introduce new models for dynamic computation based on the cell probe model of Fredman and Yao. We...
We study the complexity of the dynamic partial sum problem in the cell-probe model. We give the mode...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
AbstractThis work present several advances in the understanding of dynamic data structures in the bi...
Given two strings S and T, each of length at most n, the longest common substring (LCS) problem is t...
We prove lower bounds for several (dynamic) data structure problems conditioned on the well known co...
This paper defines a challenging problem of pattern matching between a pattern P and a text T, with ...
The motivation of this thesis is to present new lower bounds for important computational problems on...
Limits of Data Structures, Communication, and Cards - Abstract In this thesis, we study several aspe...
Given two strings S and T, each of length at most n, the longest common substring (LCS) problem is t...
We give a number of new lower bounds in the cell probe modelwith logarithmic cell size, which entail...
Given a static reference string R and a source string S, a relative compression of S with respect to...
Abstract We introduce new models for dynamic computation based on the cell probe model of Fredman an...
The longest common substring problem consists in finding a longest string that appears as a (contigu...
The text-to-pattern Hamming distances problem asks to compute the Hamming distances between a given ...
We introduce new models for dynamic computation based on the cell probe model of Fredman and Yao. We...
We study the complexity of the dynamic partial sum problem in the cell-probe model. We give the mode...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
AbstractThis work present several advances in the understanding of dynamic data structures in the bi...
Given two strings S and T, each of length at most n, the longest common substring (LCS) problem is t...
We prove lower bounds for several (dynamic) data structure problems conditioned on the well known co...
This paper defines a challenging problem of pattern matching between a pattern P and a text T, with ...
The motivation of this thesis is to present new lower bounds for important computational problems on...
Limits of Data Structures, Communication, and Cards - Abstract In this thesis, we study several aspe...
Given two strings S and T, each of length at most n, the longest common substring (LCS) problem is t...
We give a number of new lower bounds in the cell probe modelwith logarithmic cell size, which entail...
Given a static reference string R and a source string S, a relative compression of S with respect to...
Abstract We introduce new models for dynamic computation based on the cell probe model of Fredman an...
The longest common substring problem consists in finding a longest string that appears as a (contigu...