1994
DOI: 10.1016/0045-7825(94)90172-4
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Large-scale computation of incompressible viscous flow by least-squares finite element method

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Cited by 160 publications
(159 citation statements)
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“…Recently, there has been substantial interest in the use of least squares principles for the approximate solution of the Navier-Stokes equations of incompressible flow; for some examples of bona fide least squares methods, one may consult, e.g., [5,8,9,11,12,19,20,21,22,23,24,28]. The computational results provided in these papers indicate that the methods considered are effective; however, careful analyses of these methods indicate that they do not yield optimally accurate approximations.…”
Section: Introductionmentioning
confidence: 98%
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“…Recently, there has been substantial interest in the use of least squares principles for the approximate solution of the Navier-Stokes equations of incompressible flow; for some examples of bona fide least squares methods, one may consult, e.g., [5,8,9,11,12,19,20,21,22,23,24,28]. The computational results provided in these papers indicate that the methods considered are effective; however, careful analyses of these methods indicate that they do not yield optimally accurate approximations.…”
Section: Introductionmentioning
confidence: 98%
“…If all equation indices are equal, one has the common and unimportant factor h2s' and, insofar as minimization is concerned, the functional (34) is identical to the standard one (21). Using standard techniques of the calculus of variations, one can show, for any fixed value of h , that minimization of (34) over an appropriate space U is equivalent to the variational problem For the discretization of (35) we consider a finite-dimensional subspace UA of U and pose the problem:…”
Section: The Mesh-dependent Least Squares Principlementioning
confidence: 99%
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“…We tested the method on the lid-driven cavity represented by the unit square Ω = [10] for dealing with these singularities, the domain was uniformly partitioned into an N by N grid of squares, and then the top layer was further partitioned into a layer of height 75/N and a layer of height 25/N as the new topmost layer. Each rectangular cell was then partitioned into a pair of triangles.…”
Section: Matlab Direct Solver Methodsmentioning
confidence: 99%
“…The usual procedure for least squares treatment of a first-order system of nonlinear equations is to linearize the equations by a Newton iteration or fixed-point iteration, and solve a linear least squares problem at each step; see, e.g., [10]. If a Newton iteration is used, the method is equivalent to applying a Gauss-Newton method to find a zero of the gradient of the nonlinear functional associated with the sum of squared residuals.…”
Section: Nonlinear Least Squares Functionalmentioning
confidence: 99%