DAKOTA, a multilevel parellel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis:version 4.0 uers's manual.
- Sandai National Labs, Livermore, CA
- Sandai National Labs, Livermore, CA
- 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 (SNL), Albuquerque, NM, and Livermore, CA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 895703
- Report Number(s):
- SAND2006-6337; TRN: US200703%%26
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
D CODES
FINITE ELEMENT METHOD
NONLINEAR PROGRAMMING
PERFORMANCE
SENSITIVITY ANALYSIS
COMPUTERIZED SIMULATION
PARAMETRIC ANALYSIS
LEAST SQUARE FIT
MANUALS
COMPUTER-AIDED DESIGN
Iterative methods (Mathematics)-Computer programs.
Stochastic processes.
Nonlinear programming.