Name
Title | ||
|---|---|---|
Efficient modeling of distributions of polymer properties using probability generating functions and parallel computing. |
Abstract | ||
|---|---|---|
•Accurate and efficient modeling of univariate and bivariate polymer distributions.•Parallel-computing applied to models based on probability generating functions.•Univariate distributions computed in few seconds.•Bivariate distributions computed in few minutes. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.compchemeng.2019.06.009 | Computers & Chemical Engineering |
Keywords | Field | DocType |
Mathematical modeling,Polymers,Multivariate distributions,Probability generating function,Parallel computing | Generating function,Polymer,System of linear equations,CPU time,Multivariate statistics,Parallel computing,A priori and a posteriori,Shape of the distribution,Probability-generating function,Mathematics | Journal |
Volume | ISSN | Citations |
128 | 0098-1354 | 0 |
PageRank | References | Authors |
0.34 | 0 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mariano Asteasuain | 1 | 2 | 1.52 |