Bases in Function Spaces, Sampling, Discrepancy, Numerical Integration
By Hans Triebel. 2010
182 citations recorded by the source corpus.
Subfields: Numerical Analysis
View Paper: https://www.semanticscholar.org/paper/9205f9c77fbee4087d00eb24b110969bca7b6711
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In Numerical Analysis
- Tino Ullrich
- Friedrich Pillichshammer
- Josef Dick
- Loukas Grafakos
- Holger Rauhut
- Winfried Sickel
- Chris J. Oates
- Mark A. Girolami
Citations in the corpus
- Spline interpolation on sparse grids (2011, background): “(ii) In his recent book [48] Triebel proved the validity of D̄r(p, q) in case 1 ≤ p, q <∞ and 1/p < r < 2n− 1 + 1/p, but restricted to d = 2.”
- Digital Nets and Sequences: Discrepancy Theory and Quasi-Monte Carlo Integration (2010, background): “Further information concerning the relationship between integration and discrepancy can be found in the books of Novak & Woźniakowski [198, 200] and of Triebel [256].”
- Rough Bilinear Singular Integrals (2015, background): “due to Daubechies [10] and can also be found in Meyer’s book [22]. For our purposes we need product type smoothwavelets with compact supports; the construction of such objects can be found in Triebel [29]. Lemma 6. For any k ∈ N there are real compactly supported functions ψF,ψM ∈Ck(R)such that, if ”
- Generalized coorbit space theory and inhomogeneous function spaces of Besov-Lizorkin-Triebel type (2010, background): “Then we define by PwB,q,a(X) := {F : X → C : ‖F |PwB,q,a‖ ∞} , LwB,q,a(X) := {F : X → C : ‖F |LwB,q,a‖ ∞} two scales of function spaces on X, where the norms are given by (2.4) and (2.5).”