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Heping Wang

17 papers hereh-index 13593 citations53 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • middle author2
  • last author13

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • math.NA12
  • math.CA5
same name
  • Heping Wang — 3 papers, h 10
  • Heping Wang — 2 papers, h 0
  • Heping Wang — 1 paper, h 1
  • Heping Wang — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20072022
most citedA note about EC-(s,t)-weak tractability of multivariate approximation with analytic Korobov kernels

3 citations · 17 across the 17 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

math.CA2019

Entropy numbers of weighted Sobolev classes on the unit sphere

Heping Wang, Wang Kai

We obtain the asymptotic orders of entropy numbers of Sobolev classes on the unit sphere with Dunkl weight which associates with the finite reflection group. Moreover, the asymptot…

math.NA2019★ 2 cited

Strong equivalences of approximation numbers and tractability of weighted anisotropic Sobolev embeddings

JiDong Hao, Heping Wang

In this paper, we study multivariate approximation defined over weighted anisotropic Sobolev spaces which depend on two sequences a={aj​}j≥1​ and ${\bf b}=\{b_j\}_{j…

math.NA2019

Average case tractability of additive random fields with Korobov kernels

Jia Chen, Heping Wang

We investigate average case tractability of approximation of additive random fields with marginal random processes corresponding to the Korobov kernels for the non-homogeneous case…

math.NA2019★ 1 cited

Tractability of non-homogeneous tensor product problems in the worst case setting

Rong Guo, Heping Wang

We study multivariate linear tensor product problems with some special properties in the worst case setting. We consider algorithms that use finitely many continuous linear functio…

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