Least-square finite elements for Stokes problem
Computer Methods in Applied Mechanics and Engineering
Least-squares finite element method for fluid dynamics
Computer Methods in Applied Mechanics and Engineering
A subdomain Galerkin/Least squares method for first-order elliptic systems in the plane
SIAM Journal on Numerical Analysis
A new method of stabilization for singular perturbation problems with spectral methods
SIAM Journal on Numerical Analysis
Splitting techniques for the pseudospectral approximation of the unsteady Stokes equations
SIAM Journal on Numerical Analysis
Issues Related to Least-Squares Finite Element Methods for the Stokes Equations
SIAM Journal on Scientific Computing
Splitting techniques with staggered grids for the Navier—Stokes equations in the 2D case
Journal of Computational Physics
Spectral schemes on triangular elements
Journal of Computational Physics
A Least-Squares Spectral Element Formulation for the Stokes Problem
Journal of Scientific Computing
Least-squares spectral collocation for discontinuous and singular perturbation problems
Journal of Computational and Applied Mathematics
Journal of Computational Physics
Journal of Computational Physics
Direct Minimization of the least-squares spectral element functional - Part I: Direct solver
Journal of Computational Physics
Journal of Computational Physics
Spectral collocation and radial basis function methods for one-dimensional interface problems
Applied Numerical Mathematics
Journal of Computational and Applied Mathematics
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A least-squares spectral collocation formulation for the Navier–Stokes problem is presented. By this new approach the well known Babu˘ska–Brezzi condition can be avoided. Here we are able to employ polynomials of the same degree both for the velocity components and for the pressure. The collocation conditions and the boundary conditions lead to a overdetermined system which can be efficiently solved by least-squares. The solution technique will only involve symmetric positive definite linear systems. The numerical simulations confirm the usual exponential rate of convergence for the spectral scheme.