Abstract
We propose an adaptive Monte Carlo algorithm for estimating multidimensional integrals over a hyper-rectangular region. The algorithm uses iteratively the idea of separating the domain of integration into 2ssubregions. The proposed algorithm can be applied directly to estimate the integral using an efficient way of storage. We test the algorithm for estimating the value of a 30-dimensional integral using a two-division approach. The numerical results show that the proposed algorithm gives better results than using one-division approach.
Original language | English |
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Pages (from-to) | 49-59 |
Number of pages | 11 |
Journal | Mathematics and Computers in Simulation |
Volume | 79 |
Issue number | 1 |
DOIs | |
Publication status | Published - Oct 2008 |
Externally published | Yes |
Keywords
- Adaptive Monte Carlo algorithms
- Monte Carlo integration
- Stratified sampling
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science
- Numerical Analysis
- Modelling and Simulation
- Applied Mathematics