1 citations · 1 across the 2 of their papers we have counts for
3 papers
Gradient Approximation and Multi-Variable Derivative-Free Optimization based on Non-Commutative Maps
Jan Feiling, Mohamed-Ali Belabbas, Christian Ebenbauer
In this work, multi-variable derivative-free optimization algorithms for unconstrained optimization problems are developed. A novel procedure for approximating the gradient of mult…
Characterizing the learning dynamics in extremum seeking
Stefan Wildhagen, Simon Michalowsky, Jan Feiling +1
We consider perturbation-based extremum seeking, which recovers an approximate gradient of an analytically unknown objective function through measurements. Using classical needle v…
Derivative-Free Optimization Algorithms based on Non-Commutative Maps
Jan Feiling, Amelie Zeller, Christian Ebenbauer
A novel class of derivative-free optimization algorithms is developed. The main idea is to utilize certain non-commutative maps in order to approximate the gradient of the objectiv…