G2TT
来源类型Article
规范类型其他
DOI10.100/s10113-015-0801-6
Editorial - European policy responses to climate change: progress on mainstreaming emissions reduction and adaptation.
Berkhout F; Bouwer LM; Bayer J; Bouzid M; Cabeza M; Hanger S; Hof A; Hunter P
发表日期2015
出处Regional Environmental Change 15 (6): 949-959
出版年2015
语种英语
摘要This paper presents new algorithms for the dynamic generation of scenario trees for multistage stochatic optimization. The different methods described are based on random vectors, which are drawn from conditional distributions given the past and on sample trajectories. The structure of the tree is not determined beforehand, but dynamically adapted to meet a distance criterion, which measures the quality of the approximation. The criterion is built on transportation theory, which is extended to stochastic processes.
主题Risk, Policy and Vulnerability (RPV) ; Risk & ; Resilience (RISK)
关键词decision trees optimal transporation stochastic optimiaztion
URLhttp://pure.iiasa.ac.at/id/eprint/11420/
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/130344
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GB/T 7714
Berkhout F,Bouwer LM,Bayer J,et al. Editorial - European policy responses to climate change: progress on mainstreaming emissions reduction and adaptation.. 2015.
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