2006
DOI: 10.1007/s10494-006-9021-y
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A weighted least square scheme for compressible flows

Abstract: The article describes the development of a high order finite volume method for the solution of transonic flow problems. The method is based on a reconstruction procedure similar to the weighted essentially non-oscillatory scheme (WENO). The analysis of accuracy and stability of the method is carried out for the case of smooth data and for simple discontinuity. The computational results demonstrate the performance of the WLSQR method for the solution of several flow problems in 2D and 3D using both structured a… Show more

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Cited by 12 publications
(7 citation statements)
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“…We note in passing that the idea of employing least squares fitting of the data in the same context has been exploited, in different fashions, at least in [1,14,23]. Following the same procedure as in the one dimensional case, we introduce four linear functions Pγ , γ = 1, .…”
Section: Cweno Reconstruction In 2d Adaptive Gridmentioning
confidence: 99%
“…We note in passing that the idea of employing least squares fitting of the data in the same context has been exploited, in different fashions, at least in [1,14,23]. Following the same procedure as in the one dimensional case, we introduce four linear functions Pγ , γ = 1, .…”
Section: Cweno Reconstruction In 2d Adaptive Gridmentioning
confidence: 99%
“…For the purpose of comparison, we shall use both linear and quadratic interpolation. We stress that building more accurate and stable semi-Lagrangian methods, for example, based on non-linear oscillatory-free interpolation procedures [28], may be another way of developing staggered octree grid schemes. However, such developments are not within the scope of the present paper.…”
Section: Numerical Time-integrationmentioning
confidence: 99%
“…For interpolation we use a modification of the conservative weighted least-squares (WLSQR) reconstruction [9]. Assume that in a cell T 0 and in the neighbouring cells T i the piecewise constant function u be given by values u 0 and u i .…”
Section: Water Flooding Simulations On Dynamic Octreesmentioning
confidence: 99%
“…We treat high gradients of water saturation as the sharp front between two phases and high gradients of oil pressure as peculiarities of Darcy's velocities. For interpolation of data between two nested grids we use local conservative interpolation [9].…”
mentioning
confidence: 99%