MetaCartSign in to MyCiteSeer

Include Citations | Advanced Search | Help

Include Citations | Advanced Search | Help

  Space-Time Tradeoffs for Graph Properties (1998) [5 citations — 0 self]

Download:
Download as a PDF | Download as a PS
by Yevgeniy Dodis, Sanjeev Khanna
In Proceedings of 26th ICALP
http://theory.lcs.mit.edu/~yevgen/ps/space-time.ps.gz
Add To MetaCart

Abstract:

We initiate a study of space-time tradeoffs in the cell-probe model under restricted preprocessing power. In this setup, we are given: (a) a function f(y; q) where y is the static input and q is a dynamic query, (b) a function family F for preprocessing, and (c) a parameter s indicating the amount of preprocessing space. The goal is to preprocess the static input y to create a data structure D so that the dynamic queries q can be quickly answered. The data structure D contains s bits of information about y and each bit corresponds to a function in F applied to y. The "time " t to answer a query is measured in terms of the number of bits read from D. Intuitively, this models the situation where the data access is slow/expensive and the local computation is fast/cheap. We study the dependence between the space s and the time t for a given f when preprocessing is done using only functions in F. Classically, space-time tradeoffs have been studied in this model under the assumption that family F is an unrestricted function family. In this setting, a large gap exists between the expected and provable lower bounds. Augmenting the model with parameter F that characterizes the preprocessing power, makes for a more realistic computational model and allows to obtain much tighter space-time tradeoffs for various natural settings of F. Our model also unifies many fundamental questions previously studied

Citations

374 Communication Complexity – Kushilevitz, Nisan - 1997
304 The complexity of Boolean functions – Wegener - 1987
267 Some complexity questions related to distributed computing – Yao - 1979
192 Introduction to Coding Theory – Lint - 1982
113 Should tables be sorted – Yao - 1981
93 On the degree of boolean functions as real polynomials – Nisan, Szegedy - 1994
39 A lower bound for finding predecessors in Yao's cell probe model – Ajtai - 1988
37 Lower bounds for Union-Split-Find related problems on random access machines – Miltersen - 1994
35 Lower bounds for high dimensional nearest neighbor search and related problems – Borodin, Ostrovsky, et al.
23 Topological approach to evasiveness – Kahn, Saks, et al.
19 An !(n 43 ) lower bound on the randomized complexity of graph properties – Hajnal - 1991
17 The bit probe complexity measure revisited – Miltersen - 1993
15 On the communication complexity of graph properties – Hajnal, Maass, et al. - 1988
13 On the cell probe complexity of polynomial evaluation – Miltersen - 1995
13 New bounds in cell probe model – Xiao - 1992
11 The complexity of some simple retrieval problems – Elias, Flower - 1975
10 Monotone bipartite graph properties are evasive – Yao - 1988
9 bounds for Union-Split-Find related problems on random access machines – Lower - 1994
6 A good neighbor is hard to find – Chakrabarti, Chazelle, et al. - 1999
4 On the Time-Space Complexity of Reachability Queries for Preprocessed Graphs – Hellerstein, Klein, et al. - 1990
1 On Data Structures and Asymmetric Communication Comlexity – Miltersen, Nisan, et al. - 1995
1 On recognizing graph properties from adjecency matrices – Rivest, Vuillemin - 1976