◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Chang-Ock Lee

4 papers here

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

author position
  • first author2
  • middle author1
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • math.NA4

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

math.NA2020

Optimal quadrature formulas for non-periodic functions in Sobolev space and its application to CT image reconstruction

Abdullo R. Hayotov, Soomin Jeon, Chang-Ock Lee +1

In the present paper, optimal quadrature formulas in the sense of Sard are constructed for numerical integration of the integral ∫ab​e2πiωxφ(x)dx with ω∈R i…

math.NA2019

Fast Nonoverlapping Block Jacobi Method for the Dual Rudin--Osher--Fatemi Model

Chang-Ock Lee, Jongho Park

We consider nonoverlapping domain decomposition methods for the Rudin--Osher--Fatemi~(ROF) model, which is one of the standard models in mathematical image processing. The image do…

math.NA2019

On an optimal quadrature formula for approximation of Fourier integrals in the space L2(1)​

Abdullo R. Hayotov, Soomin Jeon, Chang-Ock Lee

This paper deals with the construction of an optimal quadrature formula for the approximation of Fourier integrals in the Sobolev space L2(1)​[a,b] of non-periodic, complex va…

math.NA2019

A Finite Element Nonoverlapping Domain Decomposition Method with Lagrange Multipliers for the Dual Total Variation Minimizations

Chang-Ock Lee, Jongho Park

In this paper, we consider a primal-dual domain decomposition method for total variation regularized problems appearing in mathematical image processing. The model problem is trans…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.