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Claudia Totzeck
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A consensus-based model for global optimization and its mean-field limit
R Pinnau, C Totzeck, O Tse, S Martin
Mathematical Models and Methods in Applied Sciences 27 (01), 183-204, 2017
1342017
An analytical framework for consensus-based global optimization method
JA Carrillo, YP Choi, C Totzeck, O Tse
Mathematical Models and Methods in Applied Sciences 28 (06), 1037-1066, 2018
1182018
Instantaneous control of interacting particle systems in the mean-field limit
M Burger, R Pinnau, C Totzeck, O Tse, A Roth
Journal of Computational Physics 405, 109181, 2020
432020
Mean-field optimal control and optimality conditions in the space of probability measures
M Burger, R Pinnau, C Totzeck, O Tse
SIAM Journal on Control and Optimization 59 (2), 977-1006, 2021
412021
Trends in consensus-based optimization
C Totzeck
Active Particles, Volume 3: Advances in Theory, Models, and Applications …, 2021
402021
Consensus-Based Global Optimization with Personal Best
C Totzeck, MT Wolfram
arXiv preprint arXiv:2005.07084, 2020
262020
An anisotropic interaction model with collision avoidance
C Totzeck
arXiv preprint arXiv:1912.04234, 2019
162019
Consensus-based optimization and ensemble Kalman inversion for global optimization problems with constraints
JA Carrillo, C Totzeck, U Vaes
Modeling and Simulation for Collective Dynamics, 195-230, 2023
152023
A Numerical Comparison of Consensus‐Based Global Optimization to other Particle‐based Global Optimization Schemes
C Totzeck, R Pinnau, S Blauth, S Schotthöfer
PAMM 18 (1), e201800291, 2018
152018
Parameter calibration with stochastic gradient descent for interacting particle systems driven by neural networks
S Göttlich, C Totzeck
Mathematics of Control, Signals, and Systems 34 (1), 185-214, 2022
92022
Controlling a self-organizing system of individuals guided by a few external agents--particle description and mean-field limit
M Burger, R Pinnau, A Roth, C Totzeck, O Tse
arXiv preprint arXiv:1610.01325, 2016
92016
Space mapping-based receding horizon control for stochastic interacting particle systems: dogs herding sheep
C Totzeck, R Pinnau
Journal of Mathematics in Industry 10, 1-19, 2020
8*2020
Consensus-based optimization for multi-objective problems: a multi-swarm approach
K Klamroth, M Stiglmayr, C Totzeck
Journal of Global Optimization, 1-32, 2024
62024
Ensemble-based gradient inference for particle methods in optimization and sampling
C Schillings, C Totzeck, P Wacker
SIAM/ASA Journal on Uncertainty Quantification 11 (3), 757-787, 2023
62023
Interacting Particles and Optimization
R Pinnau, C Totzeck
PAMM 18 (1), e201800182, 2018
42018
Kinetic based optimization enhanced by genetic dynamics
G Albi, F Ferrarese, C Totzeck
arXiv preprint arXiv:2306.09199, 2023
32023
Multi-scale description of pedestrian collective dynamics with port-Hamiltonian systems
A Tordeux, C Totzeck
arXiv preprint arXiv:2211.06503, 2022
32022
Optimal control for interacting particle systems driven by neural networks
S Göttlich, C Totzeck
arXiv preprint arXiv:2101.12657, 2021
32021
Mean-field optimal control for biological pattern formation
M Burger, LM Kreusser, C Totzeck
ESAIM: Control, Optimisation and Calculus of Variations 27, 40, 2021
32021
Asymptotic Analysis of Optimal Control Problems and Global Optimization
C Totzeck
Verlag Dr. Hut, 2017
32017
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