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Sensitivity Analysis, Uncertainty Quantification and Predictive Modeling of Nuclear Energy Systems
by
Cacuci, Dan Gabriel
in
Approximation
/ Decomposition
/ Eigenvalues
/ Expected values
/ Monte Carlo simulation
/ n/a
/ Nuclear energy
/ Nuclear reactors
/ Ordinary differential equations
/ Polyethylene
/ Sensitivity analysis
/ Standard deviation
2022
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Sensitivity Analysis, Uncertainty Quantification and Predictive Modeling of Nuclear Energy Systems
by
Cacuci, Dan Gabriel
in
Approximation
/ Decomposition
/ Eigenvalues
/ Expected values
/ Monte Carlo simulation
/ n/a
/ Nuclear energy
/ Nuclear reactors
/ Ordinary differential equations
/ Polyethylene
/ Sensitivity analysis
/ Standard deviation
2022
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Do you wish to request the book?
Sensitivity Analysis, Uncertainty Quantification and Predictive Modeling of Nuclear Energy Systems
by
Cacuci, Dan Gabriel
in
Approximation
/ Decomposition
/ Eigenvalues
/ Expected values
/ Monte Carlo simulation
/ n/a
/ Nuclear energy
/ Nuclear reactors
/ Ordinary differential equations
/ Polyethylene
/ Sensitivity analysis
/ Standard deviation
2022
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Sensitivity Analysis, Uncertainty Quantification and Predictive Modeling of Nuclear Energy Systems
Journal Article
Sensitivity Analysis, Uncertainty Quantification and Predictive Modeling of Nuclear Energy Systems
2022
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Overview
The Special Issue “Sensitivity Analysis, Uncertainty Quantification and Predictive Modeling of Nuclear Energy Systems” comprises nine articles that present important applications of concepts for performing sensitivity analyses and uncertainty quantifications of models of nuclear energy systems [...]
Publisher
MDPI AG
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