Dakota A Multilevel Parallel Object-Oriented Framework for Design Optimization Parameter Estimation Uncertainty Quantification and Sensitivity Analysis: Version 6.14 User's Manual.
Dakota A Multilevel Parallel Object-Oriented Framework for Design Optimization Parameter Estimation Uncertainty Quantification and Sensitivity Analysis: Version 6.14 User's Manual.
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DOI：
10.2172/1630694
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发表时间：
2020-05
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通讯作者：
B. Adams;W. Bohnhoff;K. Dalbey;Mohamed S. Ebeida;John P. Eddy;M. Eldred;Russell Hooper;P. Hough;Kenneth T. Hu;J. Jakeman;Mohammad Khalil;Kathryn Maupin;Jason Monschke;Elliott Ridgway;A. Rushdi;Daniel Seidl;J. Stephens;J. Winokur
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作者：
B. Adams;W. Bohnhoff;K. Dalbey;Mohamed S. Ebeida;John P. Eddy;M. Eldred;Russell Hooper;P. Hough;Kenneth T. Hu;J. Jakeman;Mohammad Khalil;Kathryn Maupin;Jason Monschke;Elliott Ridgway;A. Rushdi;Daniel Seidl;J. Stephens;J. Winokur
Dakota 工具包在仿真代码和迭代分析方法之间提供了灵活且可扩展的接口。 Dakota 包含基于梯度和非梯度方法的优化算法；通过抽样、可靠性和随机扩展方法进行不确定性量化；使用非线性最小二乘法进行参数估计；以及通过实验设计和参数研究方法进行敏感性/方差分析。这些功能可以单独使用，也可以作为高级策略的组件，例如基于代理的优化、混合整数非线性规划或不确定性下的优化。通过采用面向对象的设计来实现迭代系统分析所需的关键组件的抽象，Dakota 工具包为高性能计算机上计算模型的设计和性能分析提供了灵活且可扩展的问题解决环境。该报告作为 Dakota 软件的用户手册，提供功能概述和软件执行程序以及各种示例研究。 Dakota 6.11 版用户手册于 2019 年 11 月 7 日生成
The Dakota 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 expansion 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 surrogatebased 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. Dakota Version 6.11 User’s Manual generated on November 7, 2019