QUANTIFYING UNCERTAIN SYSTEM OUTPUTS VIA THE MULTI-LEVEL MONTE CARLO METHOD-DISTRIBUTION AND ROBUSTNESS MEASURES
نویسندگان
چکیده
In this work, we consider the problem of estimating probability distribution, quantile or conditional expectation above quantile, so called conditional-value-at-risk, output quantities complex random differential models by MLMC method. We follow approach (reference), which recasts estimation to computation suitable parametric expectations. present novel computable error estimators for such quantities, are then used optimally tune hierarchy in a continuation type adaptive algorithm. demonstrate efficiency and robustness our continuation-MLMC an array numerical test cases.
منابع مشابه
On the Acceleration of the Multi-Level Monte Carlo Method
The multi-level Monte Carlo method proposed by Giles (2008) approximates the expectation of some functionals applied to a stochastic process with optimal order of convergence for the mean-square error. In this paper a modified multi-level Monte Carlo estimator is proposed with significantly reduced computational costs. As the main result, it is proved that the modified estimator reduces the com...
متن کاملEconomic optimization of solar systems in uncertain economic conditions using the Monte Carlo method
Solar energy is an environmentally sustainable energy source as it is clean and inexhaustible. Solar systems are very common and cost-effective, thus, can be used for many home applications. In this paper, a new method is presented to optimize solar systems economically, regarding to energy cost fluctuations. In spite of conventional analyses, in which the inflation is considered constant, ...
متن کاملSecurity Stress: Evaluating ICT Robustness Through a Monte Carlo Method
Haruspex is a suite of tools that apply a Monte Carlo method to the risk assessment of an ICT infrastructure. These tools support a scenario-based assessment where in each scenario some intelligent agents compose elementary attacks against the infrastructure to reach some prede ned goals. To support through this suite, the comparison of alternative designs of an infrastructure, we introduce the...
متن کاملMulti-level Monte Carlo finite volume method for shallow water equations with uncertain parameters applied to landslides-generated tsunamis
Two layer Savage-Hutter type shallow water PDEs model flows such as tsunamis generated by rockslides. On account of heterogeneities in the composition of the granular matter, these models contain uncertain parameters like the ratio of densities of layers, Coulomb and interlayer friction. These parameters are modeled statistically and quantifying the resulting solution uncertainty (UQ) is a cruc...
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 Uncertainty Quantification
سال: 2023
ISSN: ['2152-5080', '2152-5099']
DOI: https://doi.org/10.1615/int.j.uncertaintyquantification.2023045259