Name
Abstract | ||
|---|---|---|
The Monte Carlo (MC) method is a simple but effective way to perform simulations involving complicated or multivariate functions. The Quasi-Monte Carlo (QMC) method is similar but replaces independent and identically distributed (i.i.d.) random points by low discrepancy points. Low discrepancy points are regularly distributed points that may be deterministic or randomized. The digital net is a kind of low discrepancy point set that is generated by number theoretical methods. A software library for low discrepancy point generation has been developed. It is thread-safe and supports MPI for parallel computation. A numerical example from physics is shown. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-30566-8_31 | international symposium on parallel and distributed processing and applications |
Keywords | DocType | Volume |
low discrepancy point,quasi-monte carlo,low discrepancy point generation,low discrepancy point set,parallel computation,parallel computing,scalable low discrepancy point,numerical example,number theoretical method,multivariate function,random point,monte carlo | Conference | 3358 |
ISSN | ISBN | Citations |
0302-9743 | 3-540-24128-0 | 1 |
PageRank | References | Authors |
0.37 | 5 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kwong Ip Liu | 1 | 9 | 2.15 |
| Fred J. Hickernell | 2 | 577 | 86.16 |