𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Algorithm refinement for the stochastic Burgers’ equation

✍ Scribed by John B. Bell; Jasmine Foo; Alejandro L. Garcia


Publisher
Elsevier Science
Year
2007
Tongue
English
Weight
497 KB
Volume
223
Category
Article
ISSN
0021-9991

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


Algorithm Refinement for Stochastic Part
✍ Francis J. Alexander; Alejandro L. Garcia; Daniel M. Tartakovsky 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 207 KB

A hybrid particle/continuum algorithm is formulated for Fickian diffusion in the fluctuating hydrodynamic limit. The particles are taken as independent random walkers; the fluctuating diffusion equation is solved by finite differences with deterministic and white-noise fluxes. At the interface betwe

Statistical theory for the stochastic Bu
✍ W. E; Eric Vanden Eijnden 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 284 KB 👁 2 views

A statistical theory is developed for the stochastic Burgers equation in the inviscid limit. Master equations for the probability density functions of velocity, velocity difference, and velocity gradient are derived. No closure assumptions are made. Instead, closure is achieved through a dimension r

An Adaptive Mesh Refinement Algorithm fo
✍ J.Patrick Jessee; Woodrow A. Fiveland; Louis H. Howell; Phillip Colella; Richard 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 600 KB

The discrete ordinates form of the radiative transport equation (RTE) is spatially discretized and solved using an adaptive mesh refinement (AMR) algorithm. This technique permits local grid refinement to minimize spatial discretization error of the RTE. An error estimator is applied to define regio