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math.OC2026
Anderson Acceleration for Linearly Converging SQP-Type Methods
Jonathan Frey, David Kiessling, Katrin Baumgärtner +1
Although Anderson acceleration (AA) is known to speed up fixed-point iterations, it is rarely applied in constrained optimization, in particular sequential quadratic programming (S…
math.OC2024
A Unified Funnel Restoration SQP Algorithm
David Kiessling, Sven Leyffer, Charlie Vanaret
We consider nonlinearly constrained optimization problems and discuss a generic double-loop framework consisting of four algorithmic ingredients that unifies a broad range of nonli…
math.OC2024
Fast Generation of Feasible Trajectories in Direct Optimal Control
David Kiessling, Katrin Baumgärtner, Jonathan Frey +3
This paper examines the question of finding feasible points to discrete-time optimal control problems. The optimization problem of finding a feasible trajectory is transcribed to a…