| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.1007/BF02204816 |
| Normalized convergence in stochastic optimization. | |
| Ermoliev Y; Norkin VI | |
| 发表日期 | 1991 |
| 出处 | Annals of Operations Research 30 (1): 187-198 |
| 出版年 | 1991 |
| 语种 | 英语 |
| 摘要 | A new concept of (normalized) convergence of random variables is introduced. This convergence is preserved under Lipschitz transformations, follows from convergence in mean and itself implies convergence in probability. If a sequence of random variables satisfies a limit theorem then it is a normalized convergent sequence. The introduced concept is applied to the convergence rate study of a statistical approach in stochastic optimization. |
| 主题 | Adaption and Optimization (ADO) |
| 关键词 | Probability theory normalized convergence stochastic optimization statistical approach rate of convergence |
| URL | http://pure.iiasa.ac.at/id/eprint/3462/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/127135 |
| 推荐引用方式 GB/T 7714 | Ermoliev Y,Norkin VI. Normalized convergence in stochastic optimization.. 1991. |
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