Advanced multi-level and multi-index Monte Carlo methods in uncertainty quantification
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This thesis examines forward uncertainty propagation with the focus on Monte Carlo sampling methods. The goal of the dissertation is to design and apply various efficient and practical multi-level and multi-index Monte Carlo methods in the context of 2D elliptic PDEs with random input.
创建时间:
2022-06-21



