Ten lectures on wavelets
Spaces of functions of mixed smoothness and approximation from hyperbolic crosses
Journal of Approximation Theory
The randomized complexity of indefinite integration
Journal of Complexity
Adaptive Wavelet Schemes for Parabolic Problems: Sparse Matrices and Numerical Results
SIAM Journal on Numerical Analysis
Adaptive Wavelet Methods on Unbounded Domains
Journal of Scientific Computing
Multivariate approximation by translates of the Korobov function on Smolyak grids
Journal of Complexity
Hi-index | 0.00 |
Besov as well as Sobolev spaces of dominating mixed smoothness are shown to be tensor products of Besov and Sobolev spaces defined on R. Using this we derive several useful characterizations from the one-dimensional case to the d-dimensional situation. Finally, consequences for hyperbolic cross approximations, in particular for tensor product splines, are discussed.