In the last lecture we considered the problem of finding the predecessor in its static version. We also introduced the idea of communication complexity and message elimination to prove lower bounds. In this lecture we present some ideas that refine the method of message elimination and make it possible to prove even tighter lower bounds. 2 Problem Description and Lower Bounds In the static predecessor problem we have n integers that fit in a word size w and the set representation takes s = n2 a space. Then we have the following lower bound: logB n logw n w − lg n ⎪ ⎨ lg a max lg w/a a lg lg n lg w/a ⎪ ⎩ lg lg w lg
An approximate membership data structure is a randomized data structure representing a set which sup...
The movement of data (communication) between levels of a memory hierarchy, or between parallel proce...
AbstractWe consider a fundamental problem in data structures, static predecessor searching: Given a ...
In this lecture, we discuss lower bounds on the cell-probe complexity of the static predecessor prob...
In the last lecture we found even lower minimum bounds for the static predecessor problem, using mes...
AbstractWe obtain matching upper and lower bounds for the amount of time to find the predecessor of ...
Thesis (Ph.D.)--University of Washington, 2020In this thesis, we study basic lower bound questions i...
In the last lecture we covered the distance to monotonicity (DTM) and longest increasing subse-quenc...
Next we discuss how to use communication complexity to prove lower bounds on the per-formance — mean...
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...
In this paper we consider two-party communication complexity, the ‘‘asymmetric case’’, when the inpu...
Limits of Data Structures, Communication, and Cards - Abstract In this thesis, we study several aspe...
AbstractIn this paper we consider two-party communication complexity, the “asymmetric case”, when th...
In this dissertation, we present a number of new techniques and tools for proving lower bounds on th...
An approximate membership data structure is a randomized data structure representing a set which sup...
The movement of data (communication) between levels of a memory hierarchy, or between parallel proce...
AbstractWe consider a fundamental problem in data structures, static predecessor searching: Given a ...
In this lecture, we discuss lower bounds on the cell-probe complexity of the static predecessor prob...
In the last lecture we found even lower minimum bounds for the static predecessor problem, using mes...
AbstractWe obtain matching upper and lower bounds for the amount of time to find the predecessor of ...
Thesis (Ph.D.)--University of Washington, 2020In this thesis, we study basic lower bound questions i...
In the last lecture we covered the distance to monotonicity (DTM) and longest increasing subse-quenc...
Next we discuss how to use communication complexity to prove lower bounds on the per-formance — mean...
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...
In this paper we consider two-party communication complexity, the ‘‘asymmetric case’’, when the inpu...
Limits of Data Structures, Communication, and Cards - Abstract In this thesis, we study several aspe...
AbstractIn this paper we consider two-party communication complexity, the “asymmetric case”, when th...
In this dissertation, we present a number of new techniques and tools for proving lower bounds on th...
An approximate membership data structure is a randomized data structure representing a set which sup...
The movement of data (communication) between levels of a memory hierarchy, or between parallel proce...
AbstractWe consider a fundamental problem in data structures, static predecessor searching: Given a ...