Volume 3, pp. 150-159, 1995.

First-order system least squares for velocity-vorticity-pressure form of the Stokes equations, with application to linear elasticity

Zhiqiang Cai, Thomas A. Manteuffel, and Stephen F. McCormick


In this paper, we study the least-squares method for the generalized Stokes equations (including linear elasticity) based on the velocity-vorticity-pressure formulation in $d=2$ or $3$ dimensions. The least-squares functional is defined in terms of the sum of the $L^2$- and $H^{-1}$-norms of the residual equations, which is similar to that in [7], but weighted appropriately by the Reynolds number (Poisson ratio). Our approach for establishing ellipticity of the functional does not use ADN theory, but is founded more on basic principles. We also analyze the case where the $H^{-1}$-norm in the functional is replaced by a discrete functional to make the computation feasible. We show that the resulting algebraic equations can be preconditioned by well-known techniques uniformly well in the Reynolds number (Poisson ratio).

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Key words

least squares, Stokes, elasticity.

AMS subject classifications

65F10, 65F30.

ETNA articles which cite this article

Vol. 6 (1997), pp. 35-43 Markus Berndt, Thomas A. Manteuffel, and Stephen F. McCormick: Local error estimates and adaptive refinement for first-order system least squares (FOSLS)
Vol. 6 (1997), pp. 44-62 P. Bochev: Experiences with negative norm least-square methods for the Navier-Stokes equations

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