Image Analysis, Random Fields and Dynamic Monte Carlo Methods: A Mathematical Introduction

By Gerhard F.H. Lutz and Gerhard Winkler

Book Overview

The text presents Bayesian image analysis and dynamic Monte Carlo algorithms from the mathematical point of view. The subject is introduced at a moderate pace and the proofs are thorough. Specific models are developed step by step and discussed.

• Format: Paperback
• Language: English
• ISBN: 3642975240
• ISBN13: 9783642975240
• Release Date: January 2012
• Publisher: Springer
• Length: 324 Pages
• Weight: 1.05 lbs.
• Dimensions: 0.7" x 6.1" x 9.2"

Customer Reviews

a bible book to learn Gibbs sampler and simulated annealing

This is absolute a bible book for any person who want to learn Gibbs sampler and simulated annealing seriously. The format of this book, though full of mathematical equations, is very self-evident and concise. Nothing is missing and nothing is redundent. It is an enjoyable journey to follow the logic and principle in this book, with all your attention in. There are full of in-depth discussion in all aspect of the Gibbs sampler, simulated annealing, from the visiting scheme to cooling schedule, and parallel algorithms. The references are excellent too. The author seems to have read all publications till 1995 about this topic and give an excellent detailed and in-depth survey in his book. At the end of your reading, you would have love the mathematical form the author used. Without these tools, many discussions in this book will be just impossible and groundless. I personally have read this book for several times.