A kernel-based data-driven optimization method computes optimal perturbations to control the spectrum of transfer operators in high-dimensional dynamical systems.
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The conditional survival probability measure for Sinai billiards with small holes is differentiable at t=0 and its derivative is computed.
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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.
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Linear response for Sinai billiards with small holes
The conditional survival probability measure for Sinai billiards with small holes is differentiable at t=0 and its derivative is computed.