John G. Heywood
University of British Columbia
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Featured researches published by John G. Heywood.
SIAM Journal on Numerical Analysis | 1982
John G. Heywood; Rolf Rannacher
This is the first part of a work dealing with the rigorous error analysis of finite element solutions of the nonstationary Navier–Stokes equations. Second-order error estimates are proven for spatial discretization, using conforming or nonconforming elements. The results indicate a fluid-like behavior of the approximations, even in the case of large data, so long as the solution remains regular. The analysis is based on sharp a priori estimates for the solution, particularly reflecting its behavior as
SIAM Journal on Numerical Analysis | 1990
John G. Heywood; Rolf Rannacher
t \to 0
International Journal for Numerical Methods in Fluids | 1996
John G. Heywood; Rolf Rannacher; Stefan Turek
and as
SIAM Journal on Numerical Analysis | 1988
John G. Heywood; Rolf Rannacher
t \to \infty
SIAM Journal on Numerical Analysis | 1986
John G. Heywood; Rolf Rannacher
. It is shown that the regularity customarily assumed in the error analysis for corresponding parabolic problems cannot be realistically assumed in the case of the Navier–Stokes equations, as it depends on nonlocal compatibility conditions for the data. The results which are presented here are independent of such compatibility conditions, which cannot be verified in practice.
SIAM Journal on Numerical Analysis | 1993
John G. Heywood; Rolf Rannacher
This paper provides an error analysis for the Crank–Nicolson method of time discretization applied to spatially discrete Galerkin approximations of the nonstationary Navier–Stokes equations. Second-order error estimates are proven locally in time under realistic assumptions about the regularity of the solution. For approximations of an exponentially stable solution, these local error estimates are extended uniformly in time as
Archive | 2000
John G. Heywood; Mariarosaria Padula
{\text{t}} \to \infty
Archive | 1998
John G. Heywood; K Masuda; R Rautmann; V A Solonnikov
.
Archive | 2004
Giovanni P. Galdi; John G. Heywood; Rolf Rannacher
Fluid dynamical problems are often conceptualized in unbounded domains. However, most methods of numerical simulation then require a truncation of the conceptual domain to a bounded one, thereby introducing artificial boundaries. Here we analyse out experience in choosing artificial boundary conditions implicitly through the choice of variational formulations. We deal particularly with a class of problems that involve the prescription of pressure drops and/or net flux conditions.
Archive | 2000
John G. Heywood; Mariarosaria Padula
This paper continues our error analysis of finite element Galerkin approximation of the nonstationary Navier–Stokes equations. Optimal order error estimates, both local and global, are derived for higher order finite elements under appropriate assumptions about the smoothness and stability of the solution. These assumptions take into account the loss of regularity at