Elisaveta Boriskova; Andrea De Girolamo; Piyush Karki; Manish Kumar Mishra; Aditya Phopale; Meike Tütken: Energy++ - An Intuitive System for Improving Building Efficiency. Projektarbeit, 2023 mehr…
2022
Amr Elsharkawy: Voronoi Piecewise Surrogate Models for Derivative-Free Nonlinear Stochastic Optimization. Masterarbeit, 2022 mehr…
Kanishk Bhatia; Anastasia Golovin; Laura Reimoser; Patrick Schmidt; Valentina Schüller; Valentin Seitz; Lukas Stockner: Parallel Nonlinear Solvers for the Simulation of Integrated Circuits. Projektarbeit, 2022 mehr…
Maternus Herold: Projection-based Model Order Reduction using Autoencoders in Nonlinear Finite Elemente Analysis. Masterarbeit, 2022 mehr…
2021
Aristotelis Economides; Binu Amaratunga; Carme Homs Pons; Edrick Solis Gonzales; Rebekka Karrer: Analog Circuit Simulator. Projektarbeit, 2021 mehr…
Davide Giovanni Bottero: Development of a statistical approach to predict waste production in urban areas. Masterarbeit, 2021 mehr…
2020
Raffel Düll; Shubham Khatri; Teodor Rotaru; Felix Sievers: High Performance Vehicle Dynamics Model for Autonomous Driving Simulation. Projektarbeit, 2020 mehr…
2019
Jonas Donhauser: Radial Basis Function Surrogates for Derivative-Free Optimization in NOWPAC. Bachelorarbeit, 2019 mehr…
Menhorn, Friedrich; Geraci, Gianluca; Seidl, D. Thomas; Marzouk, Youssef M.; Eldred, Michael S.; Bungartz, Hans-Joachim: Multilevel Monte Carloe Estimators For Derivative-Free Optimization Under Uncertainty. International Journal for Uncertainty Quantification 14 (3), 2024, 21-65 mehr…
2020
Daniel T. Seidl; Gianluca Geraci; Ryan King; Friedrich Menhorn; Andrew Glaws; Michael S. Eldred: Multifidelity strategies for forward and inverse uncertainty quantification of wind energy applications. AIAA Scitech 2020 Forum, American Institute of Aeronautics and Astronautics, 2020 mehr…
Friedrich Menhorn; Gianluca Geraci; Daniel T. Seidl; Michael S. Eldred; Ryan N. King; Hans-Joachim Bungartz; Youssef M. Marzouk: Higher moment multilevel estimators for optimization under uncertainty applied to wind plant design. AIAA Scitech 2020 Forum, American Institute of Aeronautics and Astronautics, 2020 mehr…
2019
Gianluca Geraci; Friedrich Menhorn; Xun Huan; Cosmin Safta; Youssef Marzouk; Habib N. Najm; Michael S. Eldred: Progress in Scramjet Design Optimization Under Uncertainty Using Simulations of the HIFiRE Direct Connect Rig. AIAA Scitech 2019 Forum, American Institute of Aeronautics and Astronautics, 2019 mehr…
2018
Friedrich Menhorn; Gianluca Geraci; Michael S. Eldred; Youssef M. Marzouk: Multifidelity Optimization under Uncertainty for a Scramjet-Inspired Problem. ECCM-ECFD 2018, 2018 mehr…
2017
Menhorn, Friedrich: Derivative-Free Stochastic Constrained Optimization using Gaussian Processes, with Application to a Scramjet. Masterarbeit, 2017 mehr…
2016
Saumitra Joshi; Juan Carlos Medina; Friedrich Menhorn; Severin Reiz; Benjamin Rüth; Erik Wannerberg; Anna Yurova: CAD-integrated Topology Optimization (BGCE Honours Project). , 2016 mehr…
2014
Menhorn, Friedrich: Uncertainty Quantification in Incompressible Flow using Sparse Grids. Bachelor's thesis, 2014 mehr…
Menhorn, Friedrich; Farcas, Ionut-Gabriel; Neckel, Tobias; Bungartz, Hans-Joachim: Multilevel Adaptive Squared Sparse Grid Stochastic Collocation. SIAM Conference on Uncertainty Quantification, Society for Industrial and Applied Mathematics, 2018 mehr…
2017
Menhorn, Friedrich; Neckel, Tobias: Adaptive Sparse Grid Stochastic Collocation for Random Ordinary Differential Equations. SIAM Conference on Computational Science and Engineering 2017Atlanta, Georgia, USAmehr…
2015
Menhorn, Friedrich; Neckel, Tobias: Uncertainty Quantification in Incompressible Flow using Sparse Grids. SIAM Conference on Computational Science and Engineering 2015Salt Lake City, Utah, USAmehr…
Friedrich Menhorn: Multilevel Monte Carlo for derivative-free optimization under uncertainty. SIAM UQ 2022, 2022 mehr…
Friedrich Menhorn: Multilevel Monte Carlo derivative-free optimization under uncertainty of wind power plants. ECCOMAS Congress 2022, 2022 mehr…
2021
Friedrich Menhorn: Multifidelity Monte Carlo Estimators for Robust Formulations in Optimization under Uncertainty. SIAM Conference on Computational Science and Engineering 2021, 2021 mehr…
Friedrich Menhorn: Multifidelity derivative-free optimization under uncertainty for wind plants. WCCM XIV/ ECCOMAS 2021, 2021 mehr…
Friedrich Menhorn: Multifidelity strategies for optimization under uncertainty of wind power plants. AIAA Scitech 2021 Forum, 2021 mehr…
2019
Friedrich Menhorn: Near-optimal noise control in derivative-free stochastic optimization. International Conference on Continuous Optimization, 2019 mehr…
Friedrich Menhorn: Derivative-free Multifidelity Design Optimization under Uncertainty of a Scramjet. SIAM Conference on Computational Science and Engineering , 2019 mehr…
Friedrich Menhorn: Derivative-free optimization under uncertainty using multifidelity sampling. International Congress on Industrial and Applied Mathematics, 2019 mehr…
Friedrich Menhorn: Near-optimal smoothing in derivative-free stochastic optimization. UQOP: Uncertainty Quantification and OPtimization, 2019 mehr…
2018
Friedrich Menhorn: Scramjet Design Optimization using SNOWPAC in Dakota. WCCM 2018, 2018 mehr…
Friedrich Menhorn: Integrating SNOWPAC in Dakota with Application to a Scramjet. SIAM Conference on Uncertainty Quantification, 2018 mehr…
