Random number generation and quasi-Monte Carlo methods
Random number generation and quasi-Monte Carlo methods
Optimal Polynomials for (t,m,s)-Nets and Numerical Integration of Multivariate Walsh Series
SIAM Journal on Numerical Analysis
Monte Carlo Variance of Scrambled Net Quadrature
SIAM Journal on Numerical Analysis
When are quasi-Monte Carlo algorithms efficient for high dimensional integrals?
Journal of Complexity
Component-by-component construction of good lattice rules
Mathematics of Computation
SIAM Journal on Numerical Analysis
Walsh Spaces Containing Smooth Functions and Quasi-Monte Carlo Rules of Arbitrary High Order
SIAM Journal on Numerical Analysis
Digital Nets and Sequences: Discrepancy Theory and Quasi-Monte Carlo Integration
Digital Nets and Sequences: Discrepancy Theory and Quasi-Monte Carlo Integration
Construction algorithms for higher order polynomial lattice rules
Journal of Complexity
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We show how to obtain a fast component-by-component construction algorithm for higher order polynomial lattice rules. Such rules are useful for multivariate quadrature of high-dimensional smooth functions over the unit cube as they achieve the near optimal order of convergence. The main problem addressed in this paper is to find an efficient way of computing the worst-case error. A general algorithm is presented and explicit expressions for base 2 are given. To obtain an efficient component-by-component construction algorithm we exploit the structure of the underlying cyclic group. We compare our new higher order multivariate quadrature rules to existing quadrature rules based on higher order digital nets by computing their worst-case error. These numerical results show that the higher order polynomial lattice rules improve upon the known constructions of quasi-Monte Carlo rules based on higher order digital nets.