| 来源类型 | Monograph (IIASA Research Report) |
| 规范类型 | 报告 |
| Semismooth and Semiconvex Functions in Constrained Optimization. | |
| Mifflin R | |
| 发表日期 | 1976 |
| 出版者 | IIASA, Laxenburg, Austria: RR-76-021 |
| 出版年 | 1976 |
| 语种 | 英语 |
| 摘要 | We introduce semismooth and semiconvex functions and discuss their properties with respect to nonsmooth nonconvex constrained optimization problems. These functions are locally Lipschitz, and hence have generalized gradients. The author has given an optimization algorithm that uses generalized gradients of the problem functions and converges to stationary points if the functions are semismooth. If the functions are semiconvex and a constraint qualification is satisfied, then we show that a stationary point is an optimal point. |
| 主题 | System and Decision Sciences - Core (SDS) |
| URL | http://pure.iiasa.ac.at/id/eprint/524/ |
| 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/121262 |
| 推荐引用方式 GB/T 7714 | Mifflin R. Semismooth and Semiconvex Functions in Constrained Optimization.. 1976. |
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| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| RR-76-021.pdf（512KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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