Results 11 to 20 of about 2,723,865 (337)
Local sensitivity analysis for compositional data with application to soil texture in hydrologic modelling [PDF]
Compositional data, such as soil texture, are hard to deal with in the geosciences as standard statistical methods are often inappropriate to analyse this type of data. Especially in sensitivity analysis, the closed character of the data is often ignored.
L. Loosvelt +4 more
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Quantum circuit debugging and sensitivity analysis via local inversions [PDF]
As the width and depth of quantum circuits implemented by state-of-the-art quantum processors rapidly increase, circuit analysis and assessment via classical simulation are becoming unfeasible. It is crucial, therefore, to develop new methods to identify
Fernando A. Calderon-Vargas +3 more
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Local Sensitivity Analysis of Steady-State Response of Rotors with Rub-Impact to Parameters of Rubbing Interfaces [PDF]
Local sensitivity analysis, which describes the relative importance of specific design parameters to the response of systems, is crucial for investigating dominant factors in optimal design.
Minghong Jiang +3 more
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Local Reliability Based Sensitivity Analysis with the Moving Particles Method [PDF]
Local reliability sensitivity methods aim at determining the partial derivatives of the failure probability or the reliability index with respect to model parameters. For efficient local reliability based sensitivity analysis, it is important to avoid repeated evaluations of the performance function.
Carsten Proppe
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Local Sensitivity Analysis for Bayesian Inverse Problems [PDF]
We present an extension of local sensitivity analysis, also referred to as the perturbation approach for uncertainty quantification, to Bayesian inverse problems. More precisely, we show how moments of random variables with respect to the posterior distribution can be approximated efficiently by asymptotic expansions.
Jürgen Dölz, David Ebert
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A Review on Local Failure Probability Sensitivity Analysis
When assessing the reliability of a system, a mathematical model is often defined to replicate the system’s behavior. The inputs of the system are then gathered into two categories, random inputs and deterministic inputs.
Marie Chiron +2 more
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We focus on the joint application of local and global sensitivity analyses to characterize propagation of model parameter uncertainties to outputs of subsurface water geochemical models.
G. Ceriotti +3 more
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Local sensitivity analysis in Bayesian decision theory [PDF]
J. Martı́n, David Rı́os Insua
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Power systems are increasingly affected by various sources of uncertainty at all levels. The investigation of their effects thus becomes a critical challenge for their design and operation.
Mirko Ginocchi +2 more
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Sensitivity Analysis for Pedestrian-Induced Vibration in Footbridges
This paper aims to provide a novel insight into the influence of uncertainties in system- and pedestrian-induced load parameters on the vibration response of footbridges. The study begins with a sensitivity analysis for the vertical vibration response of
Xiaojun Wei +3 more
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