Weighting methods for Monte-Carlo calculation of polymer configurations
نویسندگان
چکیده
منابع مشابه
Monte Carlo methods for strongly interacting polymer systems
Markov chain Monte Carlo methods often su er from slow convergence problems when applied to strongly interacting polymer systems. One way to alleviate these problems is to run several Markov chains in parallel, with the di erent Markov chains being designed to sample at di erent temperatures, and with suitable swapping of con gurations between pairs of chains. This method was rst invented by Ge...
متن کاملComplexity of Monte Carlo and deterministic dose-calculation methods.
Grid-based deterministic dose-calculation methods for radiotherapy planning require the use of six-dimensional phase space grids. Because of the large number of phase space dimensions, a growing number of medical physicists appear to believe that grid-based deterministic dose-calculation methods are not competitive with Monte Carlo methods. We argue that this conclusion may be premature. Our re...
متن کاملMonte Carlo and quasi-Monte Carlo methods
Monte Carlo is one of the most versatile and widely used numerical methods. Its convergence rate, O(N~^), is independent of dimension, which shows Monte Carlo to be very robust but also slow. This article presents an introduction to Monte Carlo methods for integration problems, including convergence theory, sampling methods and variance reduction techniques. Accelerated convergence for Monte Ca...
متن کاملDynamic Weighting In Markov Chain Monte Carlo
This article provides a rst theoretical analysis on a new Monte Carlo approach, the dynamic weighting, proposed recently by Wong and Liang. In dynamic weighting, one augments the original state space of interest by a weighting factor, which allows the resulting Markov chain to move more freely and to escape from local modes. It uses a new invari-ance principle to guide the construction of trans...
متن کاملDynamic weighting in Monte Carlo and optimization.
Dynamic importance weighting is proposed as a Monte Carlo method that has the capability to sample relevant parts of the configuration space even in the presence of many steep energy minima. The method relies on an additional dynamic variable (the importance weight) to help the system overcome steep barriers. A non-Metropolis theory is developed for the construction of such weighted samplers. A...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Research of the National Bureau of Standards, Section B: Mathematical Sciences
سال: 1972
ISSN: 0098-8979
DOI: 10.6028/jres.076b.014