Abstract
We present and analyze a new randomized algorithm for numerical computation of weighted integrals over the unbounded domain ℝ d. The algorithm and its desirable theoretical properties are derived based on certain stochastic assumptions about the integrands. It is easy to implement, enjoys O(n -1/2) convergence rate, and uses only standard random number generators. Numerical results are also included.
| Original language | English |
|---|---|
| Pages (from-to) | 813-825 |
| Number of pages | 13 |
| Journal | Mathematics of Computation |
| Volume | 73 |
| Issue number | 246 |
| DOIs | |
| State | Published - Apr 2004 |
Keywords
- Average case error
- Monte Carlo methods
- Numerical multiple integration
ASJC Scopus subject areas
- Algebra and Number Theory
- Computational Mathematics
- Applied Mathematics