Name
Abstract | ||
|---|---|---|
•Estimation of size dependent aggregation kernels with unknown shape.•Approximation of the aggregation kernel by Laurent polynomials.•Validation of the proposed estimation scheme with simulation data with significant measurement noise.•Significance analysis to determine an adequate polynomial size for kernel approximation. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.compchemeng.2017.03.018 | Computers & Chemical Engineering |
Keywords | Field | DocType |
Aggregation,Aggregation kernel,Inverse methods,Polynomial approximation | Kernel (linear algebra),Population,Mathematical optimization,Polynomial,Inverse problem,Laurent polynomial,Variable kernel density estimation,Mathematics,Particle aggregation,Kernel density estimation | Journal |
Volume | ISSN | Citations |
103 | 0098-1354 | 0 |
PageRank | References | Authors |
0.34 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| H. Eisenschmidt | 1 | 0 | 0.34 |
| M. Soumaya | 2 | 0 | 0.34 |
| Naim Bajçinca | 3 | 26 | 9.66 |
| le borne | 4 | 33 | 9.07 |
| Kai Sundmacher | 5 | 49 | 12.51 |