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Pontus Giselsson
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2020 – today
- 2024
- [j17]Hamed Sadeghi, Sebastian Banert, Pontus Giselsson:
Incorporating history and deviations in forward-backward splitting. Numer. Algorithms 96(4): 1819-1867 (2024) - [j16]Martin Morin
, Sebastian Banert
Frugal Splitting Operators: Representation, Minimal Lifting, and Convergence. SIAM J. Optim. 34(2): 1595-1621 (2024) - 2023
- [j15]Thomas Chaffey
Circuit analysis using monotone+skew splitting. Eur. J. Control 74: 100854 (2023) - 2022
- [j14]Christian Grussler
Efficient Proximal Mapping Computation for Low-Rank Inducing Norms. J. Optim. Theory Appl. 192(1): 168-194 (2022) - [j13]Martin Morin
Cocoercivity, smoothness and bias in variance-reduced stochastic gradient methods. Numer. Algorithms 91(2): 749-772 (2022) - [i9]Martin Morin, Sebastian Banert, Pontus Giselsson:
Frugal Splitting Operators: Representation, Minimal Lifting and Convergence. CoRR abs/2206.11177 (2022) - [i8]Thomas Chaffey, Sebastian Banert, Pontus Giselsson, Richard Pates:
Circuit Analysis using Monotone+Skew Splitting. CoRR abs/2211.14010 (2022) - 2021
- [j12]Sucharita Chakraborty
Efficient Downlink Power Allocation Algorithms for Cell-Free Massive MIMO Systems. IEEE Open J. Commun. Soc. 2: 168-186 (2021) - [j11]Cenk M. Yetis
Joint Analog Beam Selection and Digital Beamforming in Millimeter Wave Cell-Free Massive MIMO Systems. IEEE Open J. Commun. Soc. 2: 1647-1662 (2021) - [j10]Pontus Giselsson
Nonlinear Forward-Backward Splitting with Projection Correction. SIAM J. Optim. 31(3): 2199-2226 (2021) - [i7]Cenk M. Yetis, Emil Björnson, Pontus Giselsson:
Joint Analog Beam Selection and Digital Beamforming in Millimeter Wave Cell-Free Massive MIMO Systems. CoRR abs/2103.11199 (2021) - 2020
- [j9]Ernest K. Ryu
Operator Splitting Performance Estimation: Tight Contraction Factors and Optimal Parameter Selection. SIAM J. Optim. 30(3): 2251-2271 (2020) - [j8]Emil Björnson
Two Applications of Deep Learning in the Physical Layer of Communication Systems [Lecture Notes]. IEEE Signal Process. Mag. 37(5): 134-140 (2020) - [i6]Emil Björnson, Pontus Giselsson:
Two Applications of Deep Learning in the Physical Layer of Communication Systems. CoRR abs/2001.03350 (2020) - [i5]Martin Morin, Pontus Giselsson:
Sampling and Update Frequencies in Proximal Variance Reduced Stochastic Gradient Methods. CoRR abs/2002.05545 (2020)
2010 – 2019
- 2019
- [c18]Mattias Fält, Pontus Giselsson:
QPDAS: Dual Active Set Solver for Mixed Constraint Quadratic Programming. CDC 2019: 4891-4897 - [c17]Christian Grussler
Optimality Interpretations for Atomic Norms. ECC 2019: 1473-1477 - [c16]Moritz Schulze Darup, Gerrit Book, Pontus Giselsson:
Towards real-time ADMM for linear MPC. ECC 2019: 4276-4282 - 2018
- [j7]Pontus Giselsson
Envelope Functions: Unifications and Further Properties. J. Optim. Theory Appl. 178(3): 673-698 (2018) - [j6]Christian Grussler
Low-Rank Inducing Norms with Optimality Interpretations. SIAM J. Optim. 28(4): 3057-3078 (2018) - [j5]Christian Grussler
Low-Rank Optimization With Convex Constraints. IEEE Trans. Autom. Control. 63(11): 4000-4007 (2018) - 2017
- [j4]Pontus Giselsson, Stephen P. Boyd:
Linear Convergence and Metric Selection for Douglas-Rachford Splitting and ADMM. IEEE Trans. Autom. Control. 62(2): 532-544 (2017) - [c15]Mattias Fält, Pontus Giselsson:
Line search for generalized alternating projections. ACC 2017: 4637-4642 - [c14]Christian Grussler
Local convergence of proximal splitting methods for rank constrained problems. CDC 2017: 702-708 - [c13]Mattias Fält, Pontus Giselsson:
Optimal convergence rates for generalized alternating projections. CDC 2017: 2268-2274 - [i4]Christian Grussler, Pontus Giselsson:
Local Convergence of Proximal Splitting Methods for Rank Constrained Problems. CoRR abs/1710.04248 (2017) - 2016
- [c12]Pontus Giselsson, Mattias Fält, Stephen P. Boyd:
Line search for averaged operator iteration. CDC 2016: 1015-1022 - [i3]Christian Grussler, Anders Rantzer, Pontus Giselsson:
Low-rank optimization with convex constraints. CoRR abs/1606.01793 (2016) - [i2]Christian Grussler, Pontus Giselsson:
Low-Rank Inducing Norms with Optimality Interpretations. CoRR abs/1612.03186 (2016) - 2015
- [j3]Pontus Giselsson, Stephen P. Boyd:
Metric selection in fast dual forward-backward splitting. Autom. 62: 1-10 (2015) - [c11]Pontus Giselsson:
Tight linear convergence rate bounds for Douglas-Rachford splitting and ADMM. CDC 2015: 3305-3310 - 2014
- [j2]Pontus Giselsson, Anders Rantzer:
On Feasibility, Stability and Performance in Distributed Model Predictive Control. IEEE Trans. Autom. Control. 59(4): 1031-1036 (2014) - [c10]Pontus Giselsson, Stephen P. Boyd:
Diagonal scaling in Douglas-Rachford splitting and ADMM. CDC 2014: 5033-5039 - [c9]Pontus Giselsson, Stephen P. Boyd:
Preconditioning in fast dual gradient methods. CDC 2014: 5040-5045 - [c8]Pontus Giselsson, Stephen P. Boyd:
Monotonicity and restart in fast gradient methods. CDC 2014: 5058-5063 - 2013
- [j1]Pontus Giselsson, Minh Dang Doan, Tamás Keviczky, Bart De Schutter
Accelerated gradient methods and dual decomposition in distributed model predictive control. Autom. 49(3): 829-833 (2013) - [c7]Pontus Giselsson:
A generalized distributed accelerated gradient method for distributed model predictive control with iteration complexity bounds. ACC 2013: 327-333 - [c6]Pontus Giselsson:
Optimal preconditioning and iteration complexity bounds for gradient-based optimization in model predictive control. ACC 2013: 358-364 - [c5]Pontus Giselsson:
Output feedback distributed model predictive control with inherent robustness properties. ACC 2013: 1691-1696 - [i1]Minh Dang Doan, Pontus Giselsson, Tamás Keviczky, Bart De Schutter, Anders Rantzer:
A distributed accelerated gradient algorithm for distributed model predictive control of a hydro power valley. CoRR abs/1302.2093 (2013) - 2012
- [c4]Pontus Giselsson:
Execution time certification for gradient-based optimization in model predictive control. CDC 2012: 3165-3170 - 2010
- [c3]Pontus Giselsson:
Adaptive Nonlinear Model Predictive Control with suboptimality and stability guarantees. CDC 2010: 3644-3649 - [c2]Jose Maria Maestre
Distributed receding horizon Kalman filter. CDC 2010: 5068-5073 - [c1]Pontus Giselsson, Anders Rantzer:
Distributed Model Predictive Control with suboptimality and stability guarantees. CDC 2010: 7272-7277
Coauthor Index
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