A Sharp Upper Bound for Sampling Numbers in $L_2$
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2022/01/01
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Journal
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Indian UGC (journal)
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Refrences48
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Citations1
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Matthieu Dolbeault
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David Krieg
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Mario Ullrich
Cite
Dolbeault, Matthieu, et al. “A Sharp Upper Bound for Sampling Numbers in $L_2$”. SSRN Electronic Journal, 2022, https://doi.org/10.2139/ssrn.4132094.
Dolbeault, M., Krieg, D., & Ullrich, M. (2022). A Sharp Upper Bound for Sampling Numbers in $L_2$. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4132094
Dolbeault, Matthieu, David Krieg, and Mario Ullrich. “A Sharp Upper Bound for Sampling Numbers in $L_2$”. SSRN Electronic Journal, 2022. https://doi.org/10.2139/ssrn.4132094.
Dolbeault M, Krieg D, Ullrich M. A Sharp Upper Bound for Sampling Numbers in $L_2$. SSRN Electronic Journal. 2022;.
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
A New Upper Bound for Sampling Numbers | Foundations of Computational Mathematics |
| 18 | 2022 |
On the Power of Standard Information for Tractability for L<sub>2</sub>- Approximation in the Randomized Setting | Contemporary Mathematics |
| 3 | 2022 |
Random sections of ellipsoids and the power of random information | Transactions of the American Mathematical Society |
| 13 | 2021 |
Function Values Are Enough for $$L_2$$-Approximation | Foundations of Computational Mathematics |
| 28 | 2021 |
| Constructing linear-sized spectral sparsification in almost-linear time | 2018 |
Refrences Analysis
The category
Science: Mathematics 26
is the most frequently represented among the references in this article. It primarily includes studies from Journal of Complexity The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Recovery of Sobolev functions restricted to iid sampling | Mathematics of Computation |
| 2 | 2022 |
Citations Analysis
| Category | Category Repetition |
|---|---|
| Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods | 1 |
| Science: Mathematics | 1 |
The category
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods 1
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Recovery of Sobolev functions restricted to iid sampling and was published in 2022. The most recent citation comes from a 2022 study titled Recovery of Sobolev functions restricted to iid sampling. This article reached its peak citation in 2022, with 1 citations. It has been cited in 1 different journals. Among related journals, the Mathematics of Computation cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.