This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/22763
Description
Title
Computational complexity of random-access models
Author(s)
Luginbuhl, David Ralph
Issue Date
1990
Doctoral Committee Chair(s)
Loui, Michael C.
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Mathematics
Computer Science
Language
eng
Abstract
The relative power of several computational models is considered. These models are the Turing machine and its multidimensional variant, the random access machine (RAM), the tree machine, and the pointer machine. The basic computational properties of the pointer machine are examined in more detail. For example, time and space hierarchy theorems for pointer machines are presented.
Every Turing machine of time complexity $t$ and space complexity $s$ can be simulated by a pointer machine of time complexity $O$($t$) using $O$($s$/log $s$) nodes. This strengthens a similar result by van Emde Boas (1989). Every alternating pointer machine of time complexity $t$ can be simulated by a deterministic pointer machine using $O$($t$/log $t$) nodes. Other results concerning nondeterministic and alternating pointer machines are presented.
Every tree machine of time complexity $t$ can be simulated on-line by a log-cost RAM of time complexity $O$(($t$log $t$)/log log $t$). This simulation is shown to be optimal using the notion of incompressibility from Kolmogorov complexity (Solomonoff, 1964; Kolmogorov, 1965).
Every $d$-dimensional Turing machine of time complexity $t$ can be simulated on-line by a log-cost RAM running in time $O$($t$(log $t$)$\sp{1-(1/d)}$)(log log $t$)$\sp{(1/d}$). There is a log-cost RAM $R$ running in time $t$ such that every $d$-dimensional Turing machine requires time $\Omega$($t\sp{1+(1/d)}$/(log $t$(log log $t$)$\sp{1+(1/d)}$)) to simulate $R$ on-line. Every unit-cost RAM of time complexity $t$ can be simulated on-line by a $d$-dimensional Turing machine in time $O$($t$($n$)$\sp2$log $t$($n$)).
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.