Evaluating the Quasi-monte Carlo Method for Discontinuous Integrands

نویسندگان

  • MIAOHUA JIANG
  • ELIZABETH MCNAMARA
چکیده

The Monte Carlo method is an important numerical simulation tool in many applied fields such as economics, finance, statistical physics, and optimization. One of the most useful aspects of this method is in numerical integration of higher dimensions. For integrals of higher dimensions, the common numerical methods such as Simpson’s method, fail because the total number of grid points needed to evaluate the integrand can easily exceed the capacity of the current fastest computers. Assume that the domain of an integral is the unit hypercube [0, 1]. The Monte Carlo method uses the average value of the integrand over a random sequence as an approximate value of the integral. ∫

برای دانلود 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

QMC techniques for CAT bond pricing

Pricing of catastrophe bonds leads to integrals with discontinuous and formally infinite-dimensional integrands. We investigate the suitability of QuasiMonte Carlo methods for the numerical evaluation of these integrals and develop several variance-reduction algorithms. Furthermore, the performance of Quasi-Monte Carlo sequences for asymptotically efficient rare event simulation is examined. Va...

متن کامل

Efficient Bidirectional Path Tracing by Randomized Quasi-Monte Carlo Integration

As opposed to Monte Carlo integration the quasi-Monte Carlo method does not allow for an error estimate from the samples used for the integral approximation and the deterministic error bound is not accessible in the setting of computer graphics, since usually the integrands are of unbounded variation. We investigate the application of randomized quasi-Monte Carlo integration to bidirectional pa...

متن کامل

On Efficient Estimation of the Variance of the Randomised Quasi Monte Carlo Estimate

A new method to estimate the variance of an RQMC estimate has been proposed. It is expected that this method will be computationally inexpensive and will produce quite accurate estimates for a wide range of integrands. This is a ’proof of concept ’ work and therefore in its early stages.

متن کامل

Quasi-Monte Carlo for an Integrand with a Singularity along a Diagonal in the Square

Quasi-Monte Carlo methods are designed for integrands of bounded variation, and this excludes singular integrands. Several methods are known for integrands that become singular on the boundary of the unit cube [0,1]d or at isolated possibly unknown points within [0,1]d . Here we consider functions on the square [0,1]2 that may become singular as the point approaches the diagonal line x1 = x2, a...

متن کامل

Quasi-Monte Carlo algorithms for unbounded, weighted integration problems

In this article we investigate Quasi-Monte Carlo methods for multidimensional improper integrals with respect to a measure other than the uniform distribution. Additionally, the integrand is allowed to be unbounded at the lower boundary of the integration domain. We establish convergence of the Quasi-Monte Carlo estimator to the value of the improper integral under conditions involving both the...

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

برای دانلود 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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004