Pontus Giselsson

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 29

Top Topics

Convex Constraints

Quadratic Programming

Top Venues

IEEE Trans. Autom. Control.

Publications

Hamed Sadeghi, Sebastian Banert, Pontus Giselsson
Incorporating history and deviations in forward-backward splitting. Numer. Algorithms 96 (4) (2024)
Martin Morin, Sebastian Banert, Pontus Giselsson
Frugal Splitting Operators: Representation, Minimal Lifting, and Convergence. SIAM J. Optim. 34 (2) (2024)
Thomas Chaffey, Sebastian Banert, Pontus Giselsson, Richard Pates
Circuit analysis using monotone+skew splitting. Eur. J. Control 74 (2023)
Martin Morin, Sebastian Banert, Pontus Giselsson
Frugal Splitting Operators: Representation, Minimal Lifting and Convergence. CoRR (2022)
Christian Grussler, Pontus Giselsson
Efficient Proximal Mapping Computation for Low-Rank Inducing Norms. J. Optim. Theory Appl. 192 (1) (2022)
Martin Morin, Pontus Giselsson
Cocoercivity, smoothness and bias in variance-reduced stochastic gradient methods. Numer. Algorithms 91 (2) (2022)
Thomas Chaffey, Sebastian Banert, Pontus Giselsson, Richard Pates
Circuit Analysis using Monotone+Skew Splitting. CoRR (2022)
Cenk M. Yetis, Emil Björnson, Pontus Giselsson
Joint Analog Beam Selection and Digital Beamforming in Millimeter Wave Cell-Free Massive MIMO Systems. CoRR (2021)
Pontus Giselsson
Nonlinear Forward-Backward Splitting with Projection Correction. SIAM J. Optim. 31 (3) (2021)
Cenk M. Yetis, Emil Björnson, Pontus Giselsson
Joint Analog Beam Selection and Digital Beamforming in Millimeter Wave Cell-Free Massive MIMO Systems. IEEE Open J. Commun. Soc. 2 (2021)
Sucharita Chakraborty, Özlem Tugfe Demir, Emil Björnson, Pontus Giselsson
Efficient Downlink Power Allocation Algorithms for Cell-Free Massive MIMO Systems. IEEE Open J. Commun. Soc. 2 (2021)
Martin Morin, Pontus Giselsson
Sampling and Update Frequencies in Proximal Variance Reduced Stochastic Gradient Methods. CoRR (2020)
Emil Björnson, Pontus Giselsson
Two Applications of Deep Learning in the Physical Layer of Communication Systems. CoRR (2020)
Ernest K. Ryu, Adrien B. Taylor, Carolina Bergeling, Pontus Giselsson
Operator Splitting Performance Estimation: Tight Contraction Factors and Optimal Parameter Selection. SIAM J. Optim. 30 (3) (2020)
Emil Björnson, Pontus Giselsson
Two Applications of Deep Learning in the Physical Layer of Communication Systems [Lecture Notes]. IEEE Signal Process. Mag. 37 (5) (2020)
Moritz Schulze Darup, Gerrit Book, Pontus Giselsson
Towards real-time ADMM for linear MPC. ECC (2019)
Christian Grussler, Pontus Giselsson
Optimality Interpretations for Atomic Norms. ECC (2019)
Mattias Fält, Pontus Giselsson
QPDAS: Dual Active Set Solver for Mixed Constraint Quadratic Programming. CDC (2019)
Christian Grussler, Anders Rantzer, Pontus Giselsson
Low-Rank Optimization With Convex Constraints. IEEE Trans. Autom. Control. 63 (11) (2018)
Christian Grussler, Pontus Giselsson
Low-Rank Inducing Norms with Optimality Interpretations. SIAM J. Optim. 28 (4) (2018)
Pontus Giselsson, Mattias Fält
Envelope Functions: Unifications and Further Properties. J. Optim. Theory Appl. 178 (3) (2018)
Pontus Giselsson, Stephen P. Boyd
Linear Convergence and Metric Selection for Douglas-Rachford Splitting and ADMM. IEEE Trans. Autom. Control. 62 (2) (2017)
Mattias Fält, Pontus Giselsson
Line search for generalized alternating projections. ACC (2017)
Christian Grussler, Pontus Giselsson
Local convergence of proximal splitting methods for rank constrained problems. CDC (2017)
Christian Grussler, Pontus Giselsson
Local Convergence of Proximal Splitting Methods for Rank Constrained Problems. CoRR (2017)
Mattias Fält, Pontus Giselsson
Optimal convergence rates for generalized alternating projections. CDC (2017)
Pontus Giselsson, Mattias Fält, Stephen P. Boyd
Line search for averaged operator iteration. CDC (2016)
Christian Grussler, Anders Rantzer, Pontus Giselsson
Low-rank optimization with convex constraints. CoRR (2016)
Christian Grussler, Pontus Giselsson
Low-Rank Inducing Norms with Optimality Interpretations. CoRR (2016)
Pontus Giselsson
Tight linear convergence rate bounds for Douglas-Rachford splitting and ADMM. CDC (2015)
Pontus Giselsson, Stephen P. Boyd
Metric selection in fast dual forward-backward splitting. Autom. 62 (2015)
Pontus Giselsson, Stephen P. Boyd
Preconditioning in fast dual gradient methods. CDC (2014)
Pontus Giselsson, Anders Rantzer
On Feasibility, Stability and Performance in Distributed Model Predictive Control. IEEE Trans. Autom. Control. 59 (4) (2014)
Pontus Giselsson, Stephen P. Boyd
Monotonicity and restart in fast gradient methods. CDC (2014)
Pontus Giselsson, Stephen P. Boyd
Diagonal scaling in Douglas-Rachford splitting and ADMM. CDC (2014)
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 (2013)
Pontus Giselsson
Optimal preconditioning and iteration complexity bounds for gradient-based optimization in model predictive control. ACC (2013)
Pontus Giselsson, Minh Dang Doan, Tamás Keviczky, Bart De Schutter, Anders Rantzer
Accelerated gradient methods and dual decomposition in distributed model predictive control. Autom. 49 (3) (2013)
Pontus Giselsson
Output feedback distributed model predictive control with inherent robustness properties. ACC (2013)
Pontus Giselsson
A generalized distributed accelerated gradient method for distributed model predictive control with iteration complexity bounds. ACC (2013)
Pontus Giselsson
Execution time certification for gradient-based optimization in model predictive control. CDC (2012)
Pontus Giselsson, Anders Rantzer
Distributed Model Predictive Control with suboptimality and stability guarantees. CDC (2010)
Jose Maria Maestre, Pontus Giselsson, Anders Rantzer
Distributed receding horizon Kalman filter. CDC (2010)
Pontus Giselsson
Adaptive Nonlinear Model Predictive Control with suboptimality and stability guarantees. CDC (2010)