Showing math.NAShow all
3 papers · 1 filter
math.NA2026
Adaptive Kernel Methods
Tamás Dózsa, Andrea Angino, Zoltán Szabó +2
Kernel methods approximate nonlinear maps in a data-driven manner by projecting the target map onto a finite-dimensional Hilbert space called the solution space. Traditionally, thi…
math.NA2025
Trust-Region Methods with Low-Fidelity Objective Models
Andrea Angino, Matteo Aurina, Alena Kopaničáková +3
We introduce two multifidelity trust-region methods based on the Magical Trust Region (MTR) framework. MTR augments the classical trust-region step with a secondary, informative di…
math.NA2024
Two-level trust-region method with random subspaces
Andrea Angino, Alena Kopaničáková, Rolf Krause
We introduce a two-level trust-region method (TLTR) for solving unconstrained nonlinear optimization problems. Our method uses a composite iteration step, which is based on two dis…