| 来源类型 | Monograph (IIASA Collaborative Paper) |
| 规范类型 | 论文 |
| A Descent Algorithm for Large-Scale Linearly Constrained Convex Nonsmooth Minimization. | |
| Kiwiel K | |
| 发表日期 | 1984 |
| 出版者 | IIASA, Laxenburg, Austria: CP-84-015 |
| 出版年 | 1984 |
| 语种 | 英语 |
| 摘要 | A descent algorithm is given for solving a large convex program obtained by augmenting the objective of a linear program with a (possibly nondifferentiable) convex function depending on relatively few variables. Such problems often arise in practice as deterministic equivalents of stochastic programming problem. The algorithm s search direction finding subproblems can be solved efficiently by the existing software for large-scale smooth optimization. The algorithm is both readily implementable and globally convergent. |
| 主题 | Adaption and Optimization (ADO) |
| URL | http://pure.iiasa.ac.at/id/eprint/2562/ |
| 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/122946 |
| 推荐引用方式 GB/T 7714 | Kiwiel K. A Descent Algorithm for Large-Scale Linearly Constrained Convex Nonsmooth Minimization.. 1984. |
| 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 | ||
| CP-84-015.pdf（481KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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