From

Institution

Field

Type

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Reset

Papers matching “numerical optimization” 150

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

Not finding it? Sign in to also search OpenAlex live.

A systematic comparison of hard- and soft-constrained physics-informed molecular machine learning with the Clapeyron equation
2026 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access

Jan Pavšek, Jan G. Rittig, Alexander Mitsos

0

citations
AoI-Oriented Globally Optimal Joint Source and Update Scheduling in Fluid Antenna Systems
2026 arXiv (Cornell University) preprint Computer Science Age of Information Optimization Open access

Xiaopeng Yuan, Paul Zheng, Anke Schmeink

0

citations
Optimal approximation spaces for discontinuous Petrov-Galerkin finite element methods
2020 arXiv (Cornell University) preprint Engineering Advanced Numerical Methods in Computational Mathematics Open access

Ankit Chakraborty, Ajay Mandyam Rangarajan, Georg May

3

citations
Anytime Proximity Moving Horizon Estimation: Stability and Regret
2020 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Meriem Gharbi, Bahman Gharesifard, Christian Ebenbauer

4

citations
Data/moment-driven approaches for fast predictive control of collective dynamics
2024 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Giacomo Albi, Sara Bicego, Michaël Herty, Yuyang Huang, Dante Kalise, Chiara Segala

0

citations
Analyzing the Impact of Undersampling on the Benchmarking and Configuration of Evolutionary Algorithms
2022 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Diederick Vermetten, Hao Wang, Manuel López‐Ibáñez, Carola Doerr, Thomas Bäck

1

citations
Planning minimum regret $CO_2$ pipeline networks
2025 RePEc: Research Papers in Economics preprint Engineering Integrated Energy Systems Optimization Open access

Stephan Bogs, Ali Abdelshafy, Grit Walther

0

citations
Fairness-aware Age-of-Information Minimization in WPT-Assisted Short-Packet Data Collection for mURLLC
2024 arXiv (Cornell University) preprint Computer Science Age of Information Optimization Open access

Yao Lin Zhu, Xiaopeng Yuan, Yulin Hu, Bo Ai, Bin Han, Anke Schmeink

0

citations
Error analysis of higher order trace finite element methods for the surface Stokes equations
2020 arXiv (Cornell University) preprint Engineering Advanced Numerical Methods in Computational Mathematics Open access

Thomas Jankuhn, Maxim A. Olshanskii, Arnold Reusken, Alexander Zhiliakov

2

citations
Analysis of optimal preconditioners for CutFEM
2022 arXiv (Cornell University) preprint Engineering Advanced Numerical Methods in Computational Mathematics Open access

Sven Groß

2

citations
Moment-Driven Predictive Control of Mean-Field Collective Dynamics
2021 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Giacomo Albi, Michaël Herty, Dante Kalise, Chiara Segala

2

citations
An Accurate and Robust Eulerian Finite Element Method for Partial Differential Equations on Evolving Surfaces
2022 arXiv (Cornell University) preprint Engineering Advanced Numerical Methods in Computational Mathematics Open access

Hauke Sass, Arnold Reusken

0

citations
Optimal preconditioners for a Nitsche stabilized fictitious domain finite element method
2021 arXiv (Cornell University) preprint Engineering Advanced Numerical Methods in Computational Mathematics Open access

Sven Groß, Arnold Reusken

0

citations
A mass-preserving two-step Lagrange-Galerkin scheme for convection-diffusion problems
2021 arXiv (Cornell University) preprint Engineering Advanced Numerical Methods in Computational Mathematics Open access

Kouta Futai, Niklas Kolbe, Hirofumi Notsu, Tasuku Suzuki

0

citations
Error Estimates for First- and Second-Order Lagrange-Galerkin Moving Mesh Schemes for the One-Dimensional Convection-Diffusion Equation
2024 arXiv (Cornell University) preprint Engineering Advanced Numerical Methods in Computational Mathematics Open access

Kharisma Surya Putri, Niklas Kolbe, Hirofumi Notsu

0

citations
End-to-End Reinforcement Learning of Koopman Models for eNMPC of an Air Separation Unit
2025 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Daniel Mayfrank, Kayra Dernek, Laura Lang, Alexander Mitsos, Manuel Dahmen

0

citations
Optimal Importance Sampling via Stochastic Optimal Control for Stochastic Reaction Networks
2021 arXiv (Cornell University) preprint Economics, Econometrics and Finance Stochastic processes and financial applications Open access

Chiheb Ben Hammouda, Nadhir Ben Rached, Raul F. Tempone, Sophia Wiechert

0

citations
Entanglement cost of bipartite quantum channel discrimination under positive partial transpose operations
2026 arXiv (Cornell University) preprint Computer Science Quantum Information and Cryptography Open access

Chengkai Zhu, Shuyu He, Gereon Koßmann, Xin Wang

0

citations
Reduced Order Model Predictive Control for Parametrized Parabolic Partial Differential Equations
2021 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Saskia Dietze, Martin Grepl

0

citations
Curriculum reinforcement learning for quantum architecture search under hardware errors
2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Yash J. Patel, Akash Kundu, Mateusz Ostaszewski, Xavier Bonet-Monroig, Vedran Dunjko, Onur Danaci

7

citations
Learning-Based Importance Sampling via Stochastic Optimal Control for Stochastic Reaction Networks
2021 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Chiheb Ben Hammouda, Nadhir Ben Rached, Raul F. Tempone, Sophia Wiechert

0

citations
Scalable method for Bayesian experimental design without integrating over posterior distribution
2023 arXiv (Cornell University) preprint Decision Sciences Optimal Experimental Design Methods Open access

Luis Espath, Sebastian Krumscheid, Raul F. Tempone

0

citations
Optimal nodal control and the exponential turnpike property for the flow in gas networks
2026 arXiv (Cornell University) preprint Engineering Stability and Controllability of Differential Equations Open access

Martin Gugat, Michaël Herty, Michael Schuster, Yizhou Zhou

0

citations
Optimal strategies for shadow tomography with limited resources
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Zhen-Peng Xu, Qi Ye, Jie Wang, Gereon Koßmann, Andreas Winter, René Schwonnek

0

citations
A Greedy Sensor Selection Algorithm for Hyperparameterized Linear Bayesian Inverse Problems
2023 arXiv (Cornell University) preprint Decision Sciences Optimal Experimental Design Methods Open access

Nicole Aretz, Peng Chen, Denise Degen, Karen Veroy

0

citations