Sequential optimization of integrated climate change models

Research output: Contribution to journalArticle

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Abstract

A sequential optimization approach is applied to optimize the behavior of a complex dynamical system. It sequentially solves a large set of mathematical equations and next optimizes the behavior of a reduced-system, fixing certain variables of the larger original problem. These two steps are repeated till convergence occurs. The approach is applied to the problem of identifying response strategies for climate change caused by antropogenic emissions of different trace gases. The convergence properties are analyzed for this example.

Original languageEnglish (US)
Pages (from-to)477-489
Number of pages13
JournalMathematics and Computers in Simulation
Volume54
Issue number6
DOIs
StatePublished - Aug 1 2001

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Keywords

  • Dynamical system
  • Sequential optimization
  • Sequential reduced-system programming

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)
  • Numerical Analysis
  • Modeling and Simulation
  • Applied Mathematics

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