DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual.

Eldred, Michael Scott ; Dalbey, Keith R. ; Bohnhoff, William J. ; Adams, Brian M. ; Swiler, Laura Painton ; Hough, Patricia Diane (Sandia National Laboratories, Livermore, CA) ; Gay, David M. ; Eddy, John P. ; Haskell, Karen H.

Sandia National Laboratories

关键词: Nonlinear Programming.;    97 Mathematical Methods And Computing;    Manuals;    Parallel Processing Stochastic Processes.;    Sensitivity Analysis;   

DOI  :  10.2172/991842
RP-ID  :  SAND2010-2183
RP-ID  :  AC04-94AL85000
RP-ID  :  991842

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来源: UNT Digital Library

【 摘 要 】

The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, and stochastic finite element methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the DAKOTA toolkit provides a flexible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a user's manual for the DAKOTA software and provides capability overviews and procedures for software execution, as well as a variety of example studies.