DAKOTA, a multilevel parellel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis:version 4.0 uers's manual.

Technical Report · Sun Oct 01 04:00:00 EDT 2006

DOI:https://doi.org/10.2172/895703· OSTI ID:895703

Griffin, Joshua D ^[1]; Eldred, Michael Scott; Martinez-Canales, Monica L ^[2]; Watson, Jean-Paul; Kolda, Tamara Gibson ^[2]; Giunta, Anthony Andrew; Adams, Brian M; Swiler, Laura Painton; Williams, Pamela J ^[3]; Hough, Patricia Diane ^[3]; Gay, David M; Dunlavy, Daniel M; Eddy, John P; Hart, William Eugene; Brown, Shannon L

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1. Sandai National Labs, Livermore, CA
2. Sandai National Labs, Livermore, CA
3. Sandai National Labs, Livermore, CA

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.

• Research Organization: Sandia National Laboratories
• Sponsoring Organization: USDOE
• DOE Contract Number: AC04-94AL85000
• OSTI ID: 895703
• Report Number(s): SAND2006-6337
• Country of Publication: United States
• Language: English

Related Subjects

Stochastic processes.
99 GENERAL AND MISCELLANEOUS
COMPUTER-AIDED DESIGN
COMPUTERIZED SIMULATION
D CODES
FINITE ELEMENT METHOD
Iterative methods (Mathematics)-Computer programs.
LEAST SQUARE FIT
MANUALS
NONLINEAR PROGRAMMING
Nonlinear programming.
PARAMETRIC ANALYSIS
PERFORMANCE
SENSITIVITY ANALYSIS