A model of computat ion is introduced which permits the analysis of both the time and space requirements of non-obl ivious programs. Using this model, it is demonstrated that any algorithm for sorting n inputs which is based on compar isons of individual inputs requires t ime-space product proport ional to n*. 1. MOTIVATION AND CONTRAPOSITION TO PREVIOUS RESEARCH The traditional approach to studying the complexity of a problem has been to examine the amount of some single resource (usually time or space) required to perform the computation. In an effort to better understand the complexity of certain problems, recent attention has been focused on examining the tradeoff between th
The designers of real-time systems try to avoid a poor utilization of hardware by assigning only the...
AbstractThe arguments used by R. Kannan (1984, Math. Systems Theory17, 29–45), L. Fortnow (1997, in ...
AbstractWe exhibit a new method for showing lower bounds for time-space tradeoffs of polynomial eval...
AbstractA model of computation is introduced which permits the analysis of both the time and space r...
A model of computation is introduced which permits the analysis of both the time and space require-m...
AbstractUpper bound time-space trade-offs are established for sorting and selection in two computati...
Abstract. An optimal (n2) lower bound is shown for the time-space product of any R-way branching pro...
We study the fundamental problem of sorting n integers of w bits on a unit-cost RAM with word size w...
AbstractIt is shown how to extend the techniques originally used to prove a lower bound of Ω(n2) for...
We study the fundamental problem of sorting in a sequential model of computation and in particular c...
The quest to develop the most memory efficient and the fastest sorting algorithm has become one of t...
AbstractThis paper establishes time-space tradeoffs for some algebraic problems in the branching pro...
An optimal R(n2) lower bound is shown for the time-space product of any R-way branching pro-gram tha...
AbstractExtending a result of Borodin et al. [1], we show that any branching program using linear qu...
The interest is to develop the fastest sorting algorithm and also efficient in all respect, has beco...
The designers of real-time systems try to avoid a poor utilization of hardware by assigning only the...
AbstractThe arguments used by R. Kannan (1984, Math. Systems Theory17, 29–45), L. Fortnow (1997, in ...
AbstractWe exhibit a new method for showing lower bounds for time-space tradeoffs of polynomial eval...
AbstractA model of computation is introduced which permits the analysis of both the time and space r...
A model of computation is introduced which permits the analysis of both the time and space require-m...
AbstractUpper bound time-space trade-offs are established for sorting and selection in two computati...
Abstract. An optimal (n2) lower bound is shown for the time-space product of any R-way branching pro...
We study the fundamental problem of sorting n integers of w bits on a unit-cost RAM with word size w...
AbstractIt is shown how to extend the techniques originally used to prove a lower bound of Ω(n2) for...
We study the fundamental problem of sorting in a sequential model of computation and in particular c...
The quest to develop the most memory efficient and the fastest sorting algorithm has become one of t...
AbstractThis paper establishes time-space tradeoffs for some algebraic problems in the branching pro...
An optimal R(n2) lower bound is shown for the time-space product of any R-way branching pro-gram tha...
AbstractExtending a result of Borodin et al. [1], we show that any branching program using linear qu...
The interest is to develop the fastest sorting algorithm and also efficient in all respect, has beco...
The designers of real-time systems try to avoid a poor utilization of hardware by assigning only the...
AbstractThe arguments used by R. Kannan (1984, Math. Systems Theory17, 29–45), L. Fortnow (1997, in ...
AbstractWe exhibit a new method for showing lower bounds for time-space tradeoffs of polynomial eval...