Backward uncertainty propagation in shape optimization
نویسندگان
چکیده
منابع مشابه
Forward and Backward Uncertainty Quantification in Optimization
This contribution gathers some of the ingredients presented during the Iranian Operational Research community gathering in Babolsar in 2019.It is a collection of several previous publications on how to set up an uncertainty quantification (UQ) cascade with ingredients of growing computational complexity for both forward and reverse uncertainty propagation.
متن کاملImplicit Uncertainty Propagation for Robust Collaborative Optimization
In this research we develop a mathematical construct for estimating uncertainties within the bilevel optimization framework of collaborative optimization. The collaborative optimization strategy employs decomposition techniques that decouple analysis tools in order to facilitate disciplinary autonomy and parallel execution. To ensure consistency of the physical artifact being designed, interdis...
متن کاملSurvey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization
In many situations across computational science and engineering, multiple computational models are available that describe a system of interest. These different models have varying evaluation costs and varying fidelities. Typically, a computationally expensive high-fidelity model describes the system with the accuracy required by the current application at hand, while lower-fidelity models are ...
متن کاملCombining Forward and Backward Propagation
Constraint Handling Rules (CHR) is a general-purpose rulebased programming language. This paper studies the forward and backward propagation of rules, and explores the combination of both execution strategies. Forward propagation transforms input to output, while backward propagation uncovers input from output. This work includes a source-to-source transformation capable of implementing a backw...
متن کاملUncertainty propagation or box propagation
This paper discusses the use of recently developed techniques and software in the numerical propagation of uncertainties in initial coordinates and/or parameters for initial value problems. We present an approach based on several validated numerical integration techniques but focusing on the propagation of boxes. The procedure uses a multivariable high order Taylor series development of the sol...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal for Numerical Methods in Fluids
سال: 2015
ISSN: 0271-2091,1097-0363
DOI: 10.1002/fld.4077