Goran Banjac
Goran Banjac
Verified email at
Cited by
Cited by
OSQP: An operator splitting solver for quadratic programs
B Stellato, G Banjac, P Goulart, A Bemporad, S Boyd
Mathematical Programming Computation 12 (4), 637-672, 2020
Infeasibility detection in the alternating direction method of multipliers for convex optimization
G Banjac, P Goulart, B Stellato, S Boyd
Journal of Optimization Theory and Applications 183 (2), 490–519, 2019
Embedded code generation using the OSQP solver
G Banjac, B Stellato, N Moehle, P Goulart, A Bemporad, S Boyd
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 1906-1911, 2017
GPU acceleration of ADMM for large-scale quadratic programming
M Schubiger, G Banjac, J Lygeros
Journal of Parallel and Distributed Computing 144, 55-67, 2020
Decentralized resource allocation via dual consensus ADMM
G Banjac, F Rey, P Goulart, J Lygeros
2019 American Control Conference (ACC), 2789-2794, 2019
Tight global linear convergence rate bounds for operator splitting methods
G Banjac, PJ Goulart
IEEE Transactions on Automatic Control 63 (12), 4126-4139, 2018
Load forecast of a university building for application in microgrid power flow optimization
M Gulin, M Vašak, G Banjac, T Tomiša
2014 IEEE International Energy Conference (ENERGYCON), 1223-1227, 2014
Accelerating quadratic optimization with reinforcement learning
J Ichnowski, P Jain, B Stellato, G Banjac, M Luo, F Borrelli, JE Gonzalez, ...
Advances in Neural Information Processing Systems 34, 21043-21055, 2021
A Data-Driven Policy Iteration Scheme based on Linear Programming
G Banjac, J Lygeros
IEEE Conference on Decision and Control, 2019
Adaptable urban water demand prediction system
G Banjac, M Vašak, M Baotić
Water Science and Technology: Water Supply 15 (5), 958-964, 2015
Dynamic day-ahead water pricing based on smart metering and demand prediction
M Vašak, G Banjac, M Baotić, J Matuško
Procedia Engineering 89, 1031-1036, 2014
On the convergence of a regularized Jacobi algorithm for convex optimization
G Banjac, K Margellos, PJ Goulart
IEEE Transactions on Automatic Control 63 (4), 1113-1119, 2018
Water use disaggregation based on classification of feature vectors extracted from smart meter data
M Vašak, G Banjac, H Novak
Procedia Engineering 119, 1381-1390, 2015
A novel approach for solving convex problems with cardinality constraints
G Banjac, PJ Goulart
IFAC-PapersOnLine 50 (1), 13182-13187, 2017
Embedded code generation with CVXPY
M Schaller, G Banjac, S Diamond, A Agrawal, B Stellato, S Boyd
IEEE Control Systems Letters 6, 2653-2658, 2022
On the asymptotic behavior of the Douglas-Rachford and proximal-point algorithms for convex optimization
G Banjac, J Lygeros
Optimization Letters 15 (8), 2719-2732, 2021
Distributed model predictive control with reconfigurable terminal ingredients for reference tracking
A Aboudonia, A Eichler, F Cordiano, G Banjac, J Lygeros
IEEE transactions on automatic control 67 (11), 6263-6270, 2021
On the minimal displacement vector of the Douglas-Rachford operator
G Banjac
Operations Research Letters 49 (2), 197-200, 2021
Efficient performance bounds for primal-dual reinforcement learning from demonstrations
A Kamoutsi, G Banjac, J Lygeros
International Conference on Machine Learning, 5257-5268, 2021
Global linear convergence in operator splitting methods
G Banjac, PJ Goulart
2016 IEEE 55th Conference on Decision and Control (CDC), 233-238, 2016
The system can't perform the operation now. Try again later.
Articles 1–20