z-logo
open-access-imgOpen Access
Toward a unified interpretation of the “proper”/“smooth” orthogonal decompositions and “state variable”/“dynamic mode” decompositions with application to fluid dynamics
Author(s) -
Arham Amin Khan,
Joseph Kuehl,
David Chelidze
Publication year - 2020
Publication title -
aip advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 58
ISSN - 2158-3226
DOI - 10.1063/1.5144429
Subject(s) - dynamic mode decomposition , decomposition , interpretation (philosophy) , stability (learning theory) , variable (mathematics) , decomposition method (queueing theory) , modal , computer science , mode (computer interface) , algorithm , mathematics , state variable , mathematical optimization , mathematical analysis , physics , materials science , chemistry , thermodynamics , machine learning , polymer chemistry , programming language , operating system , organic chemistry , discrete mathematics
A common interpretation is presented for four powerful modal decomposition techniques: “proper orthogonal decomposition,” “smooth orthogonal decomposition,” “state-variable decomposition,” and “dynamic mode decomposition.” It is shown that, in certain cases, each technique can be interpreted as an optimization problem and similarities between methods are highlighted. By interpreting each technique as an optimization problem, significant insight is gained toward the physical properties of the identified modes. This insight is strengthened by being consistent with cross-multiple decomposition techniques. To illustrate this, an inter-method comparison of synthetic hypersonic boundary layer stability data is presented.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom