Introduction to numerical analysis: 2nd edition
Introduction to numerical analysis: 2nd edition
Numerical methods and software
Numerical methods and software
Random number generation and quasi-Monte Carlo methods
Random number generation and quasi-Monte Carlo methods
Algorithm 659: Implementing Sobol's quasirandom sequence generator
ACM Transactions on Mathematical Software (TOMS)
The importance of importance sampling
Computing in Science and Engineering
Multidimensional Integration: Partition and Conquer
Computing in Science and Engineering
Hi-index | 0.00 |
Engineers increasingly rely on computer simulation to develop new products and to understand emerging technologies. In practice, this process is permeated with uncertainty. Most of the computational tools developed for design optimization ignore or abuse the issue of uncertainty, whereas traditional methods for managing uncertainty are often prohibitively expensive. The ultimate goal of this work is the development of tractable computational tools that address these realities. As a small first step towards this goal, this paper explores the computational cost of multidimensional integration (computing expectation) for robust design optimization.