National Science Library of Georgia

Image from Google Jackets

Finite Markov chains and algorithmic applications / Olle Häggström.

By: Material type: TextTextSeries: London Mathematical Society student texts ; 52.Publisher: Cambridge : Cambridge University Press, 2002Description: 1 online resource (ix, 114 pages) : digital, PDF file(s)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780511613586 (ebook)
Other title:
  • Finite Markov Chains & Algorithmic Applications
Subject(s): Additional physical formats: Print version: : No titleDDC classification:
  • 511.8 21
LOC classification:
  • QA274.7 .H34 2002
Online resources: Summary: Based on a lecture course given at Chalmers University of Technology, this 2002 book is ideal for advanced undergraduate or beginning graduate students. The author first develops the necessary background in probability theory and Markov chains before applying it to study a range of randomized algorithms with important applications in optimization and other problems in computing. Amongst the algorithms covered are the Markov chain Monte Carlo method, simulated annealing, and the recent Propp-Wilson algorithm. This book will appeal not only to mathematicians, but also to students of statistics and computer science. The subject matter is introduced in a clear and concise fashion and the numerous exercises included will help students to deepen their understanding.
Tags from this library: No tags from this library for this title. Log in to add tags.
No physical items for this record

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

Based on a lecture course given at Chalmers University of Technology, this 2002 book is ideal for advanced undergraduate or beginning graduate students. The author first develops the necessary background in probability theory and Markov chains before applying it to study a range of randomized algorithms with important applications in optimization and other problems in computing. Amongst the algorithms covered are the Markov chain Monte Carlo method, simulated annealing, and the recent Propp-Wilson algorithm. This book will appeal not only to mathematicians, but also to students of statistics and computer science. The subject matter is introduced in a clear and concise fashion and the numerous exercises included will help students to deepen their understanding.

There are no comments on this title.

to post a comment.
Copyright © 2023 Sciencelib.ge All rights reserved.