Sentence examples for uncertainty solution from inspiring English sources

Topics identified as meriting additional research include elicitation of uncertainty representations, aggregation of multiple uncertainty representations, dependence and independence, model uncertainty, solution of black-box problems, efficient sampling strategies for computation, and communication of analysis results.

A total number of 146 papers, published from Jan . 1997to Jul. 2016 are reviewed, analyzed and classified based on their modeling approaches, decisions, uncertainties, solution methodologies, sustainability, model features, entities, data, and regions of the case studies.

The results show that sparse model calibration with geologic dictionaries offer a superior history matching performance in estimating reservoir properties in realistic settings where the trade-offs between problem dimensionality, model resolution, computation speed, geologic uncertainty, and solution plausibility should be reconciled effectively.

Computational results of applying the different risk measures suggest that using downside risk model with fuzzy targets is found to be an appropriate choice for the stated closed-loop supply chain network design problem in terms of "computational efficiency", "handling uncertainty" and "solution quality".

These approaches can add the uncertainty management solutions required.

As an alternative, the robust optimization (RO) approach produces an uncertainty-immunized solution to an optimization problem with uncertain data.

The controlled system (2.6) with initial data (r_{0}in S), (x_{0}=xiin C^{b}_{mathcal{F}_{0}}([-gamma,0]; mathbb{R}^{n})) is said to be robustly exponentially stable in the mean square if there is a positive constant (lambda>0) such that, for any admissible uncertainties, the solution (x t)) satisfies limsup_{trightarrowinfty}frac{1}{t}logbigl(mathbb {E}biglvert x t) bigrvert ^{2}bigr)leq- lambda.

The calculation of solution uncertainty, given input uncertainty, falls under the rubric of uncertainty quantification (UQ).

The solution uncertainty is then dominated by modeling errors governed by the uncertainty of the GFs due to the inaccuracy of the crustal model considered.

The spread of the acceptable mechanisms determines the uncertainty and the solution quality.

In order to generate an optimal design solution, uncertainty analysis is also incorporated in this framework.