𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Error estimate of a first-order time discretization scheme for the geodynamo equations

✍ Scribed by Ting Cheng


Publisher
Elsevier Science
Year
2008
Tongue
English
Weight
236 KB
Volume
219
Category
Article
ISSN
0377-0427

No coin nor oath required. For personal study only.

✦ Synopsis


In this paper, we analyze a first-order time discretization scheme for a nonlinear geodynamo model and carry out the convergence analysis of this numerical scheme. It is concluded that our numerical scheme converges with first-order accuracy in the sense of L 2 -norm with respect to the velocity field u and the magnetic field B and with half-order accuracy in time for the total kinematic pressure P.


πŸ“œ SIMILAR VOLUMES


An optimal order error estimate for an u
✍ F. Schieweck; L. Tobiska πŸ“‚ Article πŸ“… 1996 πŸ› John Wiley and Sons 🌐 English βš– 611 KB

We analyze a finite-element approximation of the stationary incompressible Navier-Stokes equations in primitive variables. This approximation is based on the nonconforming P I/Po element pair of Crouzeix/Raviart and a special upwind discretization of the convective term. An optimal error estimate in

Error estimates using the cell discretiz
✍ Howard Swann πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 195 KB πŸ‘ 2 views

The cell discretization algorithm provides approximate solutions to second-order hyperbolic equations with coefficients independent of time. We obtain error estimates that show general convergence for homogeneous problems using semi-discrete approximations. A polynomial implementation of the algorit

A posteriori error estimates for variabl
✍ Ricardo H. Nochetto; Giuseppe SavarΓ©; Claudio Verdi πŸ“‚ Article πŸ“… 2000 πŸ› John Wiley and Sons 🌐 English βš– 336 KB πŸ‘ 2 views

We study the backward Euler method with variable time steps for abstract evolution equations in Hilbert spaces. Exploiting convexity of the underlying potential or the angle-bounded condition, thereby assuming no further regularity, we derive novel a posteriori estimates of the discretization error