This paper deals with an a posteriori local improvement of numerical grids generated trough a new algebraic mixed scheme. The improvement is achieved by an optimization strategy where only a small number of new variables is used to provide an ‘‘optimal’’ algebraic grid. The proposed new mixed scheme is based on a special family of functions that is tensor product functions in sub-regions, and it controls the position of the grid points by moving a subset of control points of the scheme.

Locally tensor product functions in algebraic grid optimization / C. CONTI; R.MORANDI; C. RABUT. - In: APPLIED MATHEMATICS AND COMPUTATION. - ISSN 0096-3003. - STAMPA. - 197:(2008), pp. 745-754. [10.1016/j.cam2007.08.068]

Locally tensor product functions in algebraic grid optimization

CONTI, COSTANZA;MORANDI, ROSSANA;
2008

Abstract

This paper deals with an a posteriori local improvement of numerical grids generated trough a new algebraic mixed scheme. The improvement is achieved by an optimization strategy where only a small number of new variables is used to provide an ‘‘optimal’’ algebraic grid. The proposed new mixed scheme is based on a special family of functions that is tensor product functions in sub-regions, and it controls the position of the grid points by moving a subset of control points of the scheme.
2008
197
745
754
C. CONTI; R.MORANDI; C. RABUT
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/251175
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