Uncertainty quantification in computational fluid dynamics | Perpustakaan Universitas Negeri Jakarta

Pencarian berdasarkan :

SEMUA Pengarang Subjek ISBN/ISSN Pencarian Spesifik

Pencarian terakhir:

Image of Uncertainty quantification in computational fluid dynamics

Electronic Resource

Uncertainty quantification in computational fluid dynamics

Bijl, Hester - Nama Orang;

Fluid flows are characterized by uncertain inputs such as random initial data, material and flux coefficients, and boundary conditions. The current volume addresses the pertinent issue of efficiently computing the flow uncertainty, given this initial randomness. It collects seven original review articles that cover improved versions of the Monte Carlo method (the so-called multi-level Monte Carlo method (MLMC)), moment-based stochastic Galerkin methods and modified versions of the stochastic collocation methods that use adaptive stencil selection of the ENO-WENO type in both physical and stochastic space. The methods are also complemented by concrete applications such as flows around aerofoils and rockets, problems of aeroelasticity (fluid-structure interactions), and shallow water flows for propagating water waves. The wealth of numerical examples provide evidence on the suitability of each proposed method as well as comparisons of different approaches.

Ketersediaan

Perpustakaan Pusat E713

E713

Tersedia

Informasi Detail

Judul Seri: -
No. Panggil: E713
Penerbit: Swiss : Springer Cham., 2013
Deskripsi Fisik: ix, 333
Bahasa: English
ISBN/ISSN: 9783319008851
Klasifikasi: NONE
Tipe Isi: text
Tipe Media: computer
Tipe Pembawa: online resource
Edisi: Ed.1
Subjek: Matematika Komputasi dan Analisis Numerik
Info Detail Spesifik: -
Pernyataan Tanggungjawab: Hester Bijl, Didier Lucor, Siddhartha Mishra, Christoph Schwab

Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas

Uncertainty quantification in computational fluid dynamics
https://doi.org/10.1007/978-3-319-00885-1

Komentar

Anda harus masuk sebelum memberikan komentar