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Seung-Yeal Ha

4 papers hereh-index 357 citations6 works total

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

author position
  • first author3
  • middle author1

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

fields
  • math.AP1
  • math.DS1
  • math.OC1
  • math.PR1
same name
  • Seung-Yeal Ha — 7 papers, h 2
  • Seung-Yeal Ha — 6 papers, h 0
  • Seung-Yeal Ha — 6 papers, h 3
  • Seung-Yeal Ha — 2 papers, h 3
  • Seung-Yeal Ha — 1 paper, h 5
  • Seung-Yeal Ha — 1 paper, h 2

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
20202026
collaborators

4 papers

math.PR2026

Uniform-in-time propagation of chaos for Second-Order Consensus-Based Optimization

Seung-Yeal Ha, Franca Hoffmann, Dohyeon Kim

We study second-order Consensus-Based Optimization (CBO), a derivative-free global optimization algorithm in which the consensus force and the multiplicative exploratory noise act…

math.AP2026

Relaxation dynamics of the continuum Kuramoto model with non-integrable kernels

Li Chen, Seung-Yeal Ha, Xinyu Wang +1

We study the asymptotic behavior of the continuum Kuramoto model with a fractional Laplacian-type kernel. For this, we construct global weak solutions via a two-parameter regulariz…

math.DS2023

On the emergent dynamics of the infinite set of Kuramoto oscillators

Seung-Yeal Ha, Euntaek Lee, Woojoo Shim

We propose an infinite Kuramoto model for a countably infinite set of Kuramoto oscillators and study its emergent dynamics for two classes of network topologies. For a class of sym…

math.OC2020

Convergence and error estimates for time-discrete consensus-based optimization algorithms

Seug-Yeal Ha, Shi Jin, Doheon Kim

We present convergence and error estimates of the time-discrete consensus-based optimization(CBO) algorithms proposed in [arXiv:1909.09249] for general nonconvex functions. In auth…

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