3 citations · 7 across the 5 of their papers we have counts for
9 papers · 1 filter
DWIFOB: A Dynamically Weighted Inertial Forward-Backward Algorithm for Monotone Inclusions
Hamed Sadeghi, Sebastian Banert, Pontus Giselsson
We propose a novel dynamically weighted inertial forward-backward algorithm (DWIFOB) for solving structured monotone inclusion problems. The scheme exploits the globally convergent…
On compositions of special cases of Lipschitz continuous operators
Pontus Giselsson, Walaa M. Moursi
Many iterative optimization algorithms involve compositions of special cases of Lipschitz continuous operators, namely firmly nonexpansive, averaged and nonexpansive operators. The…
System Identification for Hybrid Systems using Neural Networks
Mattias Fält, Pontus Giselsson
With new advances in machine learning and in particular powerful learning libraries, we illustrate some of the new possibilities they enable in terms of nonlinear system identifica…
QPDAS: Dual Active Set Solver for Mixed Constraint Quadratic Programming
Mattias Fält, Pontus Giselsson
We present a method for solving the general mixed constrained convex quadratic programming problem using an active set method on the dual problem. The approach is similar to existi…
Nonlinear Forward-Backward Splitting with Projection Correction
Pontus Giselsson
We propose and analyze a versatile and general algorithm called nonlinear forward-backward splitting (NOFOB). The algorithm consists of two steps; first an evaluation of a nonlinea…
Operator Splitting Performance Estimation: Tight contraction factors and optimal parameter selection
Ernest K. Ryu, Adrien B. Taylor, Carolina Bergeling +1
We propose a methodology for studying the performance of common splitting methods through semidefinite programming. We prove tightness of the methodology and demonstrate its value…