A kernel-based data-driven optimization method computes optimal perturbations to control the spectrum of transfer operators in high-dimensional dynamical systems.
2026 Bridging the Gap Between Koopmanism and Response Theory: Using Natural Variability to Predict Forced Response
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Presents integral dynamic emergent constraints from linear response theory as a generalization of traditional ones, tested on MPI-ESM global warming simulations.
citing papers explorer
-
Data-driven methods for computation of optimal linear response in high-dimensional dynamical systems
A kernel-based data-driven optimization method computes optimal perturbations to control the spectrum of transfer operators in high-dimensional dynamical systems.
-
A mathematical framework for dynamic emergent constraints in climate science
Presents integral dynamic emergent constraints from linear response theory as a generalization of traditional ones, tested on MPI-ESM global warming simulations.