Free to read on publisher website The combination technique has repeatedly been shown to be an effective tool for the approximation with sparse grid spaces. Little is known about the reasons of this effectiveness and in some cases the combination technique can even break down. It is known, however, that the combination technique produces an exact result in the case of a projection into a sparse grid space if the involved partial projections commute. The performance of the combination technique is analysed using a projection framework and the C/S decomposition. Error bounds are given in terms of angles between the spanning subspaces or the projections onto these subspaces. Based on this analysis modified combination coefficients are derived ...
SIGLEAvailable from TIB Hannover: RN 7878(9121) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - T...
Sparse grids, combined with gradient penalties provide an attractive tool for regularised least squa...
Sparse grids are a recently introduced new technique for discretizing partial differential equations...
Free to read on publisher website The combination technique has repeatedly been shown to be an effec...
AbstractThe combination technique has repeatedly been shown to be an effective tool for the approxim...
In real-world applications mathematical models often involve more than one variable. For example, a...
We investigate a new way of choosing combination coefficients for the sparse grid combination techni...
SIGLETIB: RN 7878(9038) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informationsbi...
Since “A combination technique for the solution of sparse grid problems” Griebel et al. (1992), the ...
Functionals related to a solution of a problem, usually modelled by partial differential equations, ...
The technique of sparse grids allows to overcome the curse of dimensionality, which prevents the use...
For the approximation of multidimensional functions, using classical numerical discretization scheme...
In the numerical technique considered in this paper, time-stepping is performed on a set of semi-coa...
Sparse grids, combined with gradient penalties provide an attractive tool for regularised least squa...
Detailed error analyses are given for sparse-grid function representations through the combination t...
SIGLEAvailable from TIB Hannover: RN 7878(9121) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - T...
Sparse grids, combined with gradient penalties provide an attractive tool for regularised least squa...
Sparse grids are a recently introduced new technique for discretizing partial differential equations...
Free to read on publisher website The combination technique has repeatedly been shown to be an effec...
AbstractThe combination technique has repeatedly been shown to be an effective tool for the approxim...
In real-world applications mathematical models often involve more than one variable. For example, a...
We investigate a new way of choosing combination coefficients for the sparse grid combination techni...
SIGLETIB: RN 7878(9038) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informationsbi...
Since “A combination technique for the solution of sparse grid problems” Griebel et al. (1992), the ...
Functionals related to a solution of a problem, usually modelled by partial differential equations, ...
The technique of sparse grids allows to overcome the curse of dimensionality, which prevents the use...
For the approximation of multidimensional functions, using classical numerical discretization scheme...
In the numerical technique considered in this paper, time-stepping is performed on a set of semi-coa...
Sparse grids, combined with gradient penalties provide an attractive tool for regularised least squa...
Detailed error analyses are given for sparse-grid function representations through the combination t...
SIGLEAvailable from TIB Hannover: RN 7878(9121) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - T...
Sparse grids, combined with gradient penalties provide an attractive tool for regularised least squa...
Sparse grids are a recently introduced new technique for discretizing partial differential equations...