Detail Uncertainty Quantification for Multiscale Simulations   Oleh:  Glimm, J. ; Ye, K. ; Kang, Y. ; Lee, Y. ; Pao, K. ; DeVolder, B. ; Grove, J. W. ; Sharp, D. H. Jenis: Article from Bulletin/Magazine Dalam koleksi: Journal of Fluids Engineering vol. 124 no. 1 (2002), page 29-41. Topik: simulation; quantification; multiscale; simulations Ketersediaan Perpustakaan Pusat (Semanggi) Nomor Panggil: JJ89.4 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada     Lihat Detail Induk Isi artikel A general discussion of the quantification of uncertainty in numerical simulations is presented. A principal conclusion is that the distribution of solution errors is the leading term in the assessment of the validity of a simulation and its associated uncertainty in the Bayesian framework. Key issues that arise in uncertainty quantification are discussed for two examples drawn from shock wave physics and modeling of petroleum reservoirs. Solution error models, confidence intervals and Gaussian error statistics based on simulation studies are presented. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Kembali

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