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Document type:
Bachelorarbeit 
Author(s):
Julia Konrad 
Title:
Multifidelity Monte Carlo Sampling in Plasma Microturbulence Analysis 
Abstract:
In this work, we apply multifidelity Monte Carlo sampling, a technique for uncertainty quantification, to two test cases from plasma microturbulence analysis, which is an important field of research into fusion power. Multifidelity Monte Carlo sampling aims to increase the accuracy of standard Monte Carlo estimators for statistical moments of model output based on uncertain input parameters. Standard Monte Carlo sampling estimates statistics by evaluating the underlying model for a num...    »
 
Supervisor:
Bungartz, Hans-Joachim 
Advisor:
Farcas, Ionut-Gabriel; Neckel, Tobias 
Year:
2019 
Quarter:
3. Quartal 
Year / month:
2019-08 
Month:
Aug 
Language:
en 
University:
Technical University of Munich 
Faculty:
Fakultät für Informatik