collaborators

1 paper

math.NA2021

Nonlinear dimensionality reduction for parametric problems: a kernel Proper Orthogonal Decomposition (kPOD)

Pedro Díez, Alba Muixí, Sergio Zlotnik +1

Reduced-order models are essential tools to deal with parametric problems in the context of optimization, uncertainty quantification, or control and inverse problems. The set of pa…