| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.1016/S0167-8191(99)00093-9 |
| Selected parallel optimization: Methods for financial management under uncertainty. | |
| Pflug GC; Swietanowski A | |
| 发表日期 | 2000 |
| 出处 | Parallel Computing 26 (1): 3-25 |
| 出版年 | 2000 |
| 语种 | 英语 |
| 摘要 | A review of some of the most important existing parallel solution algorithms for stochastic dynamic problems arising in financial planning is the main focus of this work. Optimization remains the most difficult, time and resource consuming part of the process of decision support for financial planning under uncertainty. However, other parts of a specialized decision support system (DSS) are also briefly outlined to provide appropriate background. |
| 主题 | Risk, Modeling and Society (RMS) |
| 关键词 | Stochastic optimization Parallel computation Financial planning |
| URL | http://pure.iiasa.ac.at/id/eprint/5987/ |
| 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/127911 |
| 推荐引用方式 GB/T 7714 | Pflug GC,Swietanowski A. Selected parallel optimization: Methods for financial management under uncertainty.. 2000. |
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