Abstract
The presentation of the multivariate functions in scientific problems is one of the most important issue for mathematicians and engineers to reduce the mathematical and computational complexities. Divide-and-conquer algorithms can be developed and used for this purpose. The Enhanced Multivariance Product Representation method has recently developed to represent a multivariate function in terms of less-variate functions. In this study, we intend to improve the performance of this method by imposing an iterative scheme. Some numerical implementations are also given in the paper to test the performance of this new algorithm.
Original language | English |
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Pages (from-to) | 247-253 |
Number of pages | 7 |
Journal | International Conference on Applied Computer Science - Proceedings |
Publication status | Published - 2010 |
Event | International Conference on Applied Computer Science, ACS - , Malta Duration: 15 Sept 2010 → 17 Sept 2010 |
Keywords
- High dimensional model representation
- Iterative algorithms
- Multivariate analysis