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20192026
most citedHigh-Fidelity Digital Twin Data Models by Randomized Dynamic Mode Decomposition and Deep Learning with Applications in Fluid Dynamics

6 citations · 8 across the 5 of their papers we have counts for

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Showing 2024Show all

2 papers · 1 filter

math.NA2024

Mathematical Considerations on Randomized Orthgonal Decomposition Method for Developing Twin Data Models

Diana A. Bistrian

This paper introduces the approach of Randomized Orthogonal Decomposition (ROD) for producing twin data models in order to overcome the drawbacks of existing reduced order modellin…

math.NA2024

Reduced-order modelling based on Koopman operator theory

Diana A. Bistrian, Gabriel Dimitriu, Ionel M. Navon

The present study focuses on a subject of significant interest in fluid dynamics: the identification of a model with decreased computational complexity from numerical code output u…