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Papers matching “control optimization” 37

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Synthesis of the Transient Behaviour of Optimization Algorithms for Strongly Convex Objective Functions
2026 arXiv (Cornell University) preprint Mathematics Advanced Optimization Algorithms Research Open access

Adel Abdelsamed, Dennis Gramlich, Christian Ebenbauer, Carsten W. Scherer

0

citations
Numerical simulation of differential-algebraic equations with embedded global optimization criteria
2024 Optimization methods & software article Mathematics Numerical methods for differential equations Open access

Jens Deussen, Jonathan Hüser, Uwe Naumann

0

citations
libDIPS: An Open-Source Platform for Global Optimization of Hierarchical Optimization Problems
2026 Systems and Control Transactions conference-paper Mathematics Advanced Optimization Algorithms Research Open access

Adrian W. Lipow, Daniel Jungen, Aron Zingler, Hatim Djelassi, Alexander Mitsos

0

citations
Numerical simulation of differential-algebraic equations with embedded global optimization criteria
2023 RWTH Publications (RWTH Aachen) article Mathematics Numerical methods for differential equations Open access

Jens Deussen, Jonathan Hüser, Uwe Naumann

0

citations
Gradient Approximation and Multivariable Derivative-Free Optimization Based on Noncommutative Maps
2021 IEEE Transactions on Automatic Control article Mathematics Advanced Optimization Algorithms Research Open access

Jan Feiling, Mohamed-Ali Belabbas, Christian Ebenbauer

4

citations
An Adaptive Accelerated Derivative-Free Optimization Algorithm Based on Noncommutative Maps
2025 IEEE Transactions on Automatic Control article Mathematics Advanced Optimization Algorithms Research

Xin Huo, Christian Ebenbauer, Kemao Ma

0

citations
Finite de Finetti for convex bodies and Polynomial Optimization
2026 arXiv (Cornell University) preprint Mathematics Advanced Optimization Algorithms Research Open access

Julius A. Zeiss, Gereon Koßmann, René Schwonnek, Martin Plávala

0

citations
Learning-based importance sampling via stochastic optimal control for stochastic reaction networks
2023 Statistics and Computing article Mathematics Markov Chains and Monte Carlo Methods Open access

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

4

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
Moving the Needle for Oncology Dose Optimization: A Call for Action
2024 Clinical Pharmacology & Therapeutics article Mathematics Statistical Methods in Clinical Trials

Karthik Venkatakrishnan, Priya Jayachandran, Shirley K. Seo, Piet H. van der Graaf, John A. Wagner, Neeraj Gupta

5

citations
BOP2-ENR: a Bayesian optimal phase II design for adaptive enrichment with family-wise error rate control and a bound on joint-claim power
2026 arXiv (Cornell University) preprint Mathematics Statistical Methods in Clinical Trials Open access

Kentaro Takeda, Belay Birlie Yimer, Masahiro Kojima

0

citations
Trajectory generation for the unicycle model using semidefinite relaxations
2024 European Journal of Control article Mathematics Advanced Optimization Algorithms Research Open access

Hannah Häring, Dennis Gramlich, Christian Ebenbauer, Carsten W. Scherer

1

citations
Relaxation and asymptotic expansion of controlled stiff differential equations
2024 International Journal of Control article Mathematics Differential Equations and Numerical Methods

Michaël Herty, Hicham Kouhkouh

1

citations
Detecting subsurface interfaces with a physics-based level-set segmentation and additional geological constraints
2020 conference-abstract Mathematics Numerical methods in inverse problems Open access

Florian Wellmann, Benjamin Berkels

0

citations
State-dependent importance sampling for estimating expectations of functionals of sums of independent random variables
2023 Statistics and Computing article Mathematics Markov Chains and Monte Carlo Methods Open access

Eya Ben Amar, Nadhir Ben Rached, Abdul-Lateef Haji-Ali, Raul F. Tempone

7

citations
State-dependent Importance Sampling for Estimating Expectations of Functionals of Sums of Independent Random Variables
2022 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Eya Ben Amar, Nadhir Ben Rached, Abdul-Lateef Haji-Ali, Raul F. Tempone

0

citations
Importance sampling for rare event tracking within the ensemble Kalman filtering framework
2025 Statistics and Computing article Mathematics Markov Chains and Monte Carlo Methods Open access

Nadhir Ben Rached, Erik von Schwerin, Gaukhar Shaimerdenova, Raul F. Tempone

1

citations
Importance sampling for rare event tracking within the ensemble Kalman filtering framework
2026 White Rose Research Online (University of Leeds, The University of Sheffield, University of York) article Mathematics Markov Chains and Monte Carlo Methods Open access

Nadhir Ben Rached, Erik von Schwerin, Gaukhar Shaimerdenova, Raul F. Tempone

0

citations
Safe Testing
2020 Information Theory and Applications Workshop (ITA) conference-paper Mathematics Statistical Methods and Bayesian Inference

Peter Grünwald, Rianne de Heide, Wouter M. Koolen

48

citations
Safe testing
2024 Journal of the Royal Statistical Society Series B (Statistical Methodology) article Mathematics Statistical Methods in Clinical Trials Open access

Peter Grünwald, Rianne de Heide, Wouter M. Koolen

74

citations
Generic E-variables for exact sequential k -sample tests that allow for optional stopping
2023 Journal of Statistical Planning and Inference article Mathematics Probability and Statistical Research Open access

Rosanne Turner, Alexander Ly, Peter Grünwald

13

citations
Generic E-Variables for Exact Sequential k-Sample Tests that allow for Optional Stopping
2021 arXiv (Cornell University) preprint Mathematics Probability and Statistical Research Open access

Rosanne Turner, Alexander Ly, Peter Grünwald

4

citations
[What does excess mortality tell us?]
2023 PubMed other Mathematics COVID-19 epidemiological studies

Olaf M. Dekkers, Mark G. J. de Boer, Frits Richard Rosendaal

0

citations
Choosing the right MCMC sampler: a systematic benchmark of gradient-free methods
2026 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Colin M. Poppelaars, Marcel P. van Daalen

0

citations
A Viscous Ergodic Problem with Unbounded and Measurable Ingredients, Part 1: HJB Equation
2024 SIAM Journal on Control and Optimization article Mathematics Nonlinear Partial Differential Equations

Hicham Kouhkouh

0

citations