DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis Version 3.0

ELDRED, MICHAEL S. ; GIUNTA, ANTHONY A. ; VAN BLOEMEN WAANDERS, BART G. ; WOJTKIEWICZ JR., STEVEN F. ; HART, WILLIAM E. ; ALLEVA, MARIO

Sandia National Laboratories

关键词: 99 General And Miscellaneous//Mathematics, Computing, And Information Science;    Sensitivity Analysis;    Computerized Simulation;    Sampling;    Reliability;   

DOI  :  10.2172/800774
RP-ID  :  SAND2001-3796
RP-ID  :  AC04-94AL85000
RP-ID  :  800774

美国|英语

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, analytic reliability, and stochastic finite element methods; parameter estimation with nonlinear least squares methods; and sensitivity 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.