Multi-Resolution Localized Orthogonal Decomposition for Helmholtz Problems | Zendy

Moritz Hauck | Zendy; Daniel Peterseim | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Multi-Resolution Localized Orthogonal Decomposition for Helmholtz Problems

Author(s) -

Moritz Hauck,

Daniel Peterseim

Publication year - 2022

Publication title -

multiscale modeling and simulation

Language(s) - Uncategorized

Resource type - Journals

SCImago Journal Rank - 1.037

H-Index - 70

eISSN - 1540-3467

pISSN - 1540-3459

DOI - 10.1137/21m1414607

Subject(s) - helmholtz equation , discretization , stability (learning theory) , mathematics , operator (biology) , wavelet , block (permutation group theory) , algorithm , matrix decomposition , decomposition method (queueing theory) , helmholtz free energy , mathematical analysis , computer science , mathematical optimization , eigenvalues and eigenvectors , boundary value problem , physics , geometry , discrete mathematics , biochemistry , chemistry , repressor , quantum mechanics , machine learning , artificial intelligence , transcription factor , gene

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