Generalized spectral decomposition approach to a stochastic finite integration technique electrokinetic formulation | Zendy

Lorenzo Codecasa | Zendy; Luca Di Rienzo | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Generalized spectral decomposition approach to a stochastic finite integration technique electrokinetic formulation

Author(s) -

Lorenzo Codecasa,

Luca Di Rienzo

Publication year - 2014

Publication title -

virtual community of pathological anatomy (university of castilla la mancha)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.1049/cp.2014.0171

Subject(s) - polynomial chaos , decomposition , electrokinetic phenomena , mathematics , mathematical optimization , polynomial , computer science , decomposition method (queueing theory) , algorithm , mathematical analysis , materials science , monte carlo method , nanotechnology , ecology , statistics , discrete mathematics , biology

In order to efficiently solve a stochastic finite integration technique electrokinetic formulation a recently proposed generalized spectral decomposition approach is applied. Compared to a classical polynomial chaos expansion, the proposed approach dramatically reduces the computational burden. The results are validated by comparison with those obtained with high order polynomial chaos expansion, taken as the reference solution.

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