Kernel-based sensitivity analysis for (excursion) sets

N Fellmann, C Blanchet-Scalliet, C Helbert… - …, 2024 - Taylor & Francis
In this article, we aim to perform sensitivity analysis of set-valued models and, in particular,
to quantify the impact of uncertain inputs on feasible sets, which are key elements in solving …

Distributed Learning with Discretely Observed Functional Data

J Liu, L Shi - arXiv preprint arXiv:2410.02376, 2024 - arxiv.org
By selecting different filter functions, spectral algorithms can generate various regularization
methods to solve statistical inverse problems within the learning-from-samples framework …

SENSITIVITY ANALYSES OF A MULTIPHYSICS LONG-TERM CLOGGING MODEL FOR STEAM GENERATORS

E Jaber, V Chabridon, E Remy… - International Journal …, 2025 - dl.begellhouse.com
Long-term operation of nuclear steam generators can result in the occurrence of clogging, a
deposition phenomenon that may increase the risk of mechanical and vibration loadings on …

[PDF][PDF] Sensitivity Analyses of a Multi-Physics Long-Term Clogging Model For Steam Generators

V Chabridon, E Jaber, E Remy, M Baudin… - International Journal …, 2024 - researchgate.net
Long-term operation of nuclear steam generators can result in the occurrence of clogging, a
deposition phenomenon that may increase the risk of mechanical and vibration loadings on …

Calage bayésien sous incertitudes des outils de calcul scientifique couplés: application en simulation numérique du combustible

O Balde - 2024 - theses.hal.science
Dans le cadre des études des comportements des systèmes physiques complexes tels que
les réacteurs nucléaires, les simulateurs numériques sont devenus des outils essentiels …