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Quôc Thông Lê Gia

3 papers here

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

author position
  • first author1
  • middle author1
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • math.NA2
  • math.PR1
ORCID 0000-0002-2109-6457

identity via Semantic Scholar / OpenAlex

most citedStochastic Navier-Stokes equations on a thin spherical domain

5 citations · 5 across the 3 of their papers we have counts for

collaborators

3 papers

math.NA2025

Vector-Valued Gaussian Processes for Approximating Divergence- or Rotation-free Vector Fields

Quoc Thong Le Gia, Ian Hugh Sloan, Holger Wendland

In this paper, we discuss vector-valued Gaussian processes for the approximation of divergence- or rotation-free functions. We establish the theory for such Gaussian processes, the…

math.NA2025

A decomposition-based robust training of physics-informed neural networks for nearly incompressible linear elasticity

Josef Dick, Seungchan Ko, Quoc Thong Le Gia +2

Due to divergence instability, the accuracy of low-order conforming finite element methods for nearly incompressible elasticity equations deteriorates as the Lamé coefficient $λ\to…

math.PR2020★ 5 cited

Stochastic Navier-Stokes equations on a thin spherical domain

Zdzisław Brzeźniak, Gaurav Dhariwal, Quoc Thong Le Gia

Incompressible Navier-Stokes equations on a thin spherical domain Qε​ along with free boundary conditions under a random forcing are considered. The convergence of the…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.