Name
Abstract | ||
|---|---|---|
The p-principal points of a random variable X with finite second moment are those p points in R minimizing the expected squared distance from X to the closest point. Although the determination of principal points involves in general the resolution of a multiextremal optimization problem, existing procedures in the literature provide just a local optimum. In this paper we show that standard Global Optimization techniques can be applied. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1051/ro:2001117 | RAIRO-RECHERCHE OPERATIONNELLE-OPERATIONS RESEARCH |
Keywords | Field | DocType |
principal points,d.c. functions,branch and bound | Branch and bound,Combinatorics,Mathematical optimization,Random variable,Square (algebra),Global optimization,Local optimum,Cardinal point,Optimization problem,Mathematics,Second moment of area | Journal |
Volume | Issue | ISSN |
35 | 3 | 0399-0559 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emilio Carrizosa | 1 | 384 | 46.59 |
| Eduardo Conde | 2 | 188 | 18.03 |
| adiel castano | 3 | 0 | 0.34 |
| Dolores Romero-Morales | 4 | 6 | 1.19 |