21 Titel in Klassifikation (DDC) → Naturwissenschaften und Mathematik → Mathematik → Wahrscheinlichkeiten, angewandte Mathematik 1
zu den Filteroptionen21 Titel in Klassifikation (DDC) → Naturwissenschaften und Mathematik → Mathematik → Wahrscheinlichkeiten, angewandte Mathematik
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Analysis of singular stochastic systems: two classes of examples
Elektronische Ressource, Paderborn, 2021
Approximation of a super-Brownian motion with point source
Elektronische Ressource, Paderborn, 2022
Automatische Reduktion von großen Röntgenfluoreszenzdatenmengen, auf Röntgenabsorptions- und Rasterfluoreszenspektroskopie angewandt
Elektronische Ressource, Paderborn, 2017 ;
The classical and the soft-killing Inverse First-Passage Time Problem: a stochastic order approach
Elektronische Ressource, Paderborn, 2022
Decision support for liner shipping network decisions
Elektronische Ressource, Paderborn, 2018
Deep learning-based schemes for solving high-dimensional nonlinear BSDEs and their uncertainty quantification
Wuppertal, February 25, 2025
Distributed asynchronous stochastic approximation algorithms with unbounded stochastic information delays - theory and applications
Elektronische Ressource, Paderborn, 2024
Efficient algorithmic differentiation of CAD frameworks
Elektronische Ressource, Paderborn, 2019


Increased sensitivity in parameter identification problems for piezoelectrics
Elektronische Ressource, Paderborn, 2019

Methods and applications of uncertainty quantification for object recognition
Wuppertal, September 4, 2023
Minimization of Lipschitzian piecewise smooth objective functions
Elektronische Ressource, Paderborn, 2017
Multiobjective optimization in the parameterization of gas heating devices
Wuppertal, Oktober 2024


Partial differential equations and spatial structures of Lévy Type
uncertainty quantification and optimizationWuppertal, [2021]
Routing and scheduling for home care services
solution approaches for static and dynamic settingsElektronische Ressource, Paderborn, 2016
Unsupervised open world recognition in computer vision
Wuppertal, 29.03.2023
