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University of Illinois at Urbana-Champaign

Balance of Recurrence Order in Time-Inhomogeneous Markov Chains With Applications to Simulated Annealing

Abstract

dc:description

Considered in this thesis is the class of time-inhomogeneous Markov chains whose transition probabilities are proportional to nonnegative powers of a small, time-varying parameter. A new notion of order of recurrence is introduced for the states and transitions of such Markov processes. These orders of recurrence provide considerable information about the asymptotic behavior of the process.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Electrical Engineering
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Connors, Daniel Patrick
Contributors dc:contributor
  • Kumar, P.R.

Subjects

dc:subject × 1

Identifiers

dc:identifier.*
Identifier
(UMI)AAI8823108
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/69395

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Connors, Daniel Patrick. Balance of Recurrence Order in Time-Inhomogeneous Markov Chains With Applications to Simulated Annealing. Dissertation thesis, University of Illinois at Urbana-Champaign, 2014. http://hdl.handle.net/2142/69395