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Dive into the research topics where John G. Heywood is active.

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Featured researches published by John G. Heywood.


SIAM Journal on Numerical Analysis | 1982

Finite Element Approximation of the Nonstationary Navier–Stokes Problem. I. Regularity of Solutions and Second-Order Error Estimates for Spatial Discretization

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

Finite-element approximations of the nonstationary Navier-Stokes problem. Part IV: error estimates for second-order time discretization

John G. Heywood; Rolf Rannacher

t \to 0


International Journal for Numerical Methods in Fluids | 1996

ARTIFICIAL BOUNDARIES AND FLUX AND PRESSURE CONDITIONS FOR THE INCOMPRESSIBLE NAVIER–STOKES EQUATIONS

John G. Heywood; Rolf Rannacher; Stefan Turek

and as


SIAM Journal on Numerical Analysis | 1988

Finite element approximation of the nonstationary Navier-Stokes problem, part III. Smoothing property and higher order error estimates for spatial discretization

John G. Heywood; Rolf Rannacher

t \to \infty


SIAM Journal on Numerical Analysis | 1986

Finite element approximation of the nonstationary Navier-Stokes problem, part II: Stability of solutions and error estimates uniform in time

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

On the question of turbulence modeling by approximate inertial manifolds and the nonlinear Galerkin method

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

On The Steady Transport Equation

John G. Heywood; Mariarosaria Padula

{\text{t}} \to \infty


Archive | 1998

Theory of the Navier-Stokes equations

John G. Heywood; K Masuda; R Rautmann; V A Solonnikov

.


Archive | 2004

Contributions to Current Challenges in Mathematical Fluid Mechanics

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

On the Existence and Uniqueness Theory for Steady Compressible Viscous Flow

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

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Markus Bause

University of Erlangen-Nuremberg

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Charles A. Swanson

University of British Columbia

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E.S Noussair

University of British Columbia

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Wayne Nagata

University of British Columbia

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Stefan Turek

Technical University of Dortmund

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