globalchange  > 影响、适应和脆弱性
DOI: 10.7249/RR270
报告号: RR-270-A/OSD
报告题名:
Portfolio Optimization by Means of Multiple Tandem Certainty-Uncertainty Searches: A Technical Description
作者: Brian G. Chow
出版者: RAND Corporation
出版年: 2013
发表日期: 2013
总页数: 70
国家: 美国
语种: 英语
英文关键词: Military Acquisition and Procurement ; Optimization Heuristics ; Linear Programming ; Operations Research ; Military Budgets and Defense Spending ; Modeling and Simulation ; Optimization Modeling
英文摘要: This paper describes a new approach to a very difficult process of optimization under uncertainty. This approach is to find the optimal solution to a problem by designing a number of search algorithms or schemes in a way that allows analysts to apply to a
URL: http://www.rand.org/content/dam/rand/pubs/research_reports/RR200/RR270/RAND_RR270.pdf
Citation statistics:
资源类型: 研究报告
标识符: http://119.78.100.158/handle/2HF3EXSE/26433
Appears in Collections:影响、适应和脆弱性
科学计划与规划
气候减缓与适应
气候变化事实与影响
气候变化与战略

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
RAND_RR270.pdf（1379KB）研究报告--开放获取
CC BY-NC-SA
View Download

Recommended Citation:
Brian G. Chow. Portfolio Optimization by Means of Multiple Tandem Certainty-Uncertainty Searches: A Technical Description. 2013-01-01.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Brian G. Chow]'s Articles
百度学术
Similar articles in Baidu Scholar
[Brian G. Chow]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Brian G. Chow]‘s Articles
Related Copyright Policies
Null
收藏/分享
文件名： RAND_RR270.pdf
格式： Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.