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Alberto De Marchi
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2020 – today
- 2024
- [j8]Luca Sciullo, Alberto De Marchi, Angelo Trotta, Federico Montori, Luciano Bononi, Marco Di Felice:
Relativistic Digital Twin: Bringing the IoT to the future. Future Gener. Comput. Syst. 153: 521-536 (2024) - [c7]Rebecca Richter, Alberto De Marchi, Matthias Gerdts:
Collision Avoidance using Iterative Dynamic and Nonlinear Programming with Adaptive Grid Refinements. ECC 2024: 52-57 - [c6]Luca Sciullo, Alberto De Marchi, Lorenzo Gigli, Monica Palmirani, Fabio Vitali:
AAA: A blockchain-based architecture for ethical, robust authenticated anonymity. GoodIT 2024: 1 - 2023
- [j7]Andreas Britzelmeier, Alberto De Marchi, Rebecca Richter:
Dynamic and Nonlinear Programming for Trajectory Planning. IEEE Control. Syst. Lett. 7: 2569-2574 (2023) - [j6]Alberto De Marchi, Axel Dreves, Matthias Gerdts, Simon Gottschalk, Sergejs Rogovs:
A Function Approximation Approach for Parametric Optimization. J. Optim. Theory Appl. 196(1): 56-77 (2023) - [j5]Alberto De Marchi, Xiaoxi Jia, Christian Kanzow, Patrick Mehlitz:
Constrained composite optimization and augmented Lagrangian methods. Math. Program. 201(1): 863-896 (2023) - [i2]Luca Sciullo, Alberto De Marchi, Angelo Trotta, Federico Montori, Luciano Bononi, Marco Di Felice:
Relativistic Digital Twin: Bringing the IoT to the Future. CoRR abs/2301.07390 (2023) - [i1]Rebecca Richter, Alberto De Marchi, Matthias Gerdts:
Collision Avoidance using Iterative Dynamic and Nonlinear Programming with Adaptive Grid Refinements. CoRR abs/2311.03148 (2023) - 2022
- [j4]Alberto De Marchi:
On a primal-dual Newton proximal method for convex quadratic programs. Comput. Optim. Appl. 81(2): 369-395 (2022) - [j3]Alberto De Marchi, Andreas Themelis:
Proximal Gradient Algorithms Under Local Lipschitz Gradient Continuity. J. Optim. Theory Appl. 194(3): 771-794 (2022) - 2021
- [c5]Alberto De Marchi:
Augmented Lagrangian methods as dynamical systems for constrained optimization. CDC 2021: 6533-6538 - 2020
- [c4]Alberto De Marchi:
Constrained and Sparse Switching Times Optimization via Augmented Lagrangian Proximal Methods. ACC 2020: 3633-3638
2010 – 2019
- 2019
- [j2]Alberto De Marchi, Matthias Gerdts:
Free finite horizon LQR: A bilevel perspective and its application to model predictive control. Autom. 100: 299-311 (2019) - [j1]Alberto De Marchi:
On the Mixed-Integer Linear-Quadratic Optimal Control With Switching Cost. IEEE Control. Syst. Lett. 3(4): 990-995 (2019) - [c3]Alberto De Marchi, Matthias Gerdts:
Nonsmooth Newton's Method: Some Structure Exploitation. ICCS (3) 2019: 409-420 - [c2]Alberto De Marchi, Matthias Gerdts:
Sparse Switching Times Optimization and a Sweeping Hessian Proximal Method. OR 2019: 89-95 - 2017
- [c1]Alberto De Marchi, Martin M. Hanczyc:
An architecture for the closed-loop control of droplet thermocapillary motion. ECAL 2017: 483-489
Coauthor Index
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