Results 61 to 70 of about 26,410,412 (273)
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 ...
B. Adams +17 more
semanticscholar +1 more source
Uncertainty in Health Impact Assessments of Smoke From a Wildfire Event
Wildfires cause elevated air pollution that can be detrimental to human health. However, health impact assessments associated with emissions from wildfire events are subject to uncertainty arising from different sources.
Megan M. Johnson +1 more
doaj +1 more source
Analysis of Infiltration Uncertainty [PDF]
In a total-system performance assessment (TSPA), uncertainty in the performance measure (e.g., radiation dose) is estimated by first estimating the uncertain y in the input variables and then propagating that uncertain y through the model system by means of Monte Carlo simulation.
MCCURLEY,RONALD D. +3 more
openaire +1 more source
Uncertainty relation and probability: Numerical illustration
The uncertainty relation and the probability interpretation of quantum mechanics are intrinsically connected, as is evidenced by the evaluation of standard deviations.
Fujikawa, Kazuo, Umetsu, Koichiro
core +1 more source
Improved entropic uncertainty relations and information exclusion relations [PDF]
The uncertainty principle can be expressed in entropic terms, also taking into account the role of entanglement in reducing uncertainty. The information exclusion principle bounds instead the correlations that can exist between the outcomes of ...
Coles, Patrick J., Piani, Marco
core +2 more sources
Application of integrated hydrological models to manage a watershed’s water resources are increasingly finding their way into the decision-making processes. The Soil and Water Assessment Tool (SWAT) is a multi-process model integrating hydrology, ecology,
K. Abbaspour, S. Vaghefi, R. Srinivasan
semanticscholar +1 more source
Bayesian uncertainty analysis for complex systems biology models: emulation, global parameter searches and evaluation of gene functions [PDF]
BackgroundMany mathematical models have now been employed across every area of systems biology. These models increasingly involve large numbers of unknown parameters, have complex structure which can result in substantial evaluation time relative to the ...
I. Vernon +5 more
semanticscholar +1 more source
Addressing uncertainty in genome-scale metabolic model reconstruction and analysis
The reconstruction and analysis of genome-scale metabolic models constitutes a powerful systems biology approach, with applications ranging from basic understanding of genotype-phenotype mapping to solving biomedical and environmental problems.
David B. Bernstein +3 more
semanticscholar +1 more source
Uncertainty principles in harmonic analysis
Suppose E is a subset of \({\mathbb{R}}^ n\) of codimension one which is ``uniformly distributed''. It is shown that if \(f\in L^ 2({\mathbb{R}}^ n)\), \(\| f\|_ 2=1\), \(Var(f)
openaire +3 more sources
Analysis of Climate Policy Targets under Uncertainty [PDF]
and PDF report are also available on the MIT Joint Program on the Science and Policy of Global Change website (http://globalchange.mit.edu/).Although policymaking in response to the climate change is essentially a challenge of risk management, most ...
Forest, Chris Eliot +11 more
core +1 more source

