Abstract: This article presents a novel data-driven framework for constructing eigenfunctions of the Koopman operator geared toward prediction and control. The method leverages the richness of the ...

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.

Abstract: This paper shows that a combination of: 1) the computation time-saving transfer function and eigenfunction analysis (TFEA) method, 2) eigenvalue sensitivity concept, and 3) optimization ...

This Mathematical Sciences Masters course will prepare you for the challenges of research in mathematics or statistics. Supported by relevant taught models and by academic supervisors, experts in your ...

The use of enhanced sampling simulations is essential in the study of complex physical, chemical, and biological processes. We devise a procedure that, by combining machine learning and biased ...

We present exact explicit Peregrine soliton solutions based on a periodic-wave background caused by the interference in the vector cubic-quintic nonlinear Schrödinger equation involving the ...

Nuclear structure theory has recently gone through a major renewal with the development of ab initio techniques that can be applied to a large number of atomic nuclei, well-beyond the light sector ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Ubuntu 18.04 Python 3.6 NumPy 1.14.5 TensorFlow 1.14.0 TensorBoard 1.10.0 Start with the initial model data, often exported as GOCAD surface files. It's advisable to save these as text files for easy ...

Online social networks have over the last decade influenced the way people interact. Data from Twitter allow for a detailed study of the activity in online massive communities. By studying the ...