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; Dalbey, Keith; Bohnhoff, William; Adams, Brian D.; Swiler, Laura; Hough, Patricia; Gay, David M.; Eddy, John A.; Haskell, Karen

doi:10.2172/991842

reportMay 1, 2010GREEN OA

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

MEMichael Eldred KDKeith Dalbey WBWilliam Bohnhoff BDBrian D. Adams LSLaura Swiler

Office of Scientific and Technical Information · Sandia National Laboratories California · +2 more institutions

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Abstract

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…

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Keywords

Computer science
Sensitivity (control systems)
Software
Interface (matter)
Object-oriented programming
Key (lock)
Mathematical optimization
Variance (accounting)

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