Quasi-monte Carlo Methods and Pseudo-random Numbers

نویسندگان

  • BY HARALD NIEDERREITER
  • HARALD NIEDERREITER
چکیده

CONTENTS

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Faster Quasi Random Number Generator for Most Monte Carlo Simulations

Generating quasi-random sequences for Monte Carlo simulations has been proved of interest when comparing results with numbers coming from conventional pseudorandom sequences. Despite a fair amount of sound theoretical work on random number generation algorithms, theoretical gain is often eradicated by poor computer implementations. Recently, one of the authors of this paper showed that massive ...

متن کامل

Consistency of Markov chain quasi-Monte Carlo on continuous state spaces

The random numbers driving Markov chain Monte Carlo (MCMC) simulation are usually modeled as independent U(0, 1) random variables. Tribble [24] reports substantial improvements when those random numbers are replaced by carefully balanced inputs from completely uniformly distributed sequences. The previous theoretical justification for using anything other than IID U(0, 1) points shows consisten...

متن کامل

Exploring multi-dimensional spaces: a Comparison of Latin Hypercube and Quasi Monte Carlo Sampling Techniques

Three sampling methods are compared for efficiency on a number of test problems of various complexity for which analytic quadratures are available. The methods compared are Monte Carlo with pseudo-random numbers, Latin Hypercube Sampling, and Quasi Monte Carlo with sampling based on Sobol’ sequences. Generally results show superior performance of the Quasi Monte Carlo approach based on Sobol’ s...

متن کامل

A Parallelized Quasi-monte Carlo Algorithm for the Extraction of Partial Inductances in Ic Interconnect Structures

This paper presents a parallelized Quasi-Monte Carlo algorithm for the extraction of partial inductances in IC interconnect structures. Quasi-random numbers provide superior convergence over pseudo-random numbers, and in this paper the results are presented for three quasi-random number sequences-Halton, Sobol and Niderreiter. The algorithm has been parallelized and an almost linear rate of par...

متن کامل

Introduction to Monte Carlo methods

These lectures given to graduate students in high energy physics, provide an introduction to Monte Carlo methods. After an overview of classical numerical quadrature rules, Monte Carlo integration together with variance-reducing techniques is introduced. A short description on the generation of pseudo-random numbers and quasi-random numbers is given. Finally, methods to generate samples accordi...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007