| 来源类型 | Monograph (IIASA Working Paper) |
| 规范类型 | 论文 |
| Generalized Delta Theorems for Multivalued Mappings and Measurable Selections. | |
| King AJ | |
| 发表日期 | 1988 |
| 出版者 | IIASA, Laxenburg, Austria: WP-88-056 |
| 出版年 | 1988 |
| 语种 | 英语 |
| 摘要 | The classical delta theorem can be generalized in a mathematically satisfying way to a broad class of multivalued and/or nonsmooth mappings, by examining the convergence in distribution of the sequence of difference quotients from the perspectives of recent developments in convergence theory for random closed sets and new descriptions of first-order behavior of multivalued mappings. Such a theory opens the way to applications of asymptotic techniques in many areas of mathematical optimization where randomness and uncertainty play a role. Of special importance is the asymptotic convergence of measurable selections of multifunctions when the limit multifunction is single-valued almost surely. |
| 主题 | Adaption and Optimization (ADO) |
| URL | http://pure.iiasa.ac.at/id/eprint/3149/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/123589 |
| 推荐引用方式 GB/T 7714 | King AJ. Generalized Delta Theorems for Multivalued Mappings and Measurable Selections.. 1988. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| WP-88-056.pdf（818KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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