Abstract: In this work, a new method is proposed to derive the initial approximate model for a multifidelity (MF) surrogate optimization. Specifically, the proposed method is trained using a set of ...

Python library for simulating dynamics and Koopman-based learning of dynamical models. The code in this repository was prepared to implement the methodologies described in C. Folkestad, D. Pastor, I.

Note: The article usage is presented with a three- to four-day delay and will update daily once available. Due to ths delay, usage data will not appear immediately following publication. Citation ...

The study of quantum ergodicity and the precise estimation of eigenfunctions on Riemannian manifolds lies at the intersection of geometric analysis and quantum physics. In settings where the ...

My research is at the interface of probability, analysis, and mathematical physics. I work mainly on random matrices, random graphs, statistical mechanics, stochastic processes, high-dimensional ...

Abstract: We have identified a general class of nonlinear stochastic optimal control problems which can be reduced to computing the principal eigenfunction of a linear operator. Here we develop ...

The solution of the eigenvalue problem in bounded domains with planar and cylindrical stratification is a necessary preliminary task for the construction of modal solutions to canonical problems with ...