An Improved Hierarchical ACA Technique for Sound Absorbent Materials

Alberto Milazzo, Brancati, Aliabadi

Risultato della ricerca: Articlepeer review

11 Citazioni (Scopus)

Abstract

This paper presents an improved adaptive cross approximation (ACA)approach developed in conjunction with the Hierarchical format matrix and theGMRES solver. A novel scheme to generate the cluster tree (based upon preliminaryconsiderations of the prescribed boundary conditions) and an improved ACAalgorithm (approximating the system matrix for mixed Robin conditions) are described.The asymptotic smoothness property of a kernel generated by a linearcombination of two asymptotic smooth kernels is demonstrated. Numerical resultsshow the new approach to be up to 50% faster than the conventional ACAapproach.
Lingua originaleEnglish
pagine (da-a)1-24
Numero di pagine24
RivistaCOMPUTER MODELING IN ENGINEERING & SCIENCES
Volume78
Stato di pubblicazionePublished - 2011

All Science Journal Classification (ASJC) codes

  • Software
  • Modelling and Simulation
  • Computer Science Applications

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