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Xiaopeng Luo

10 papers hereh-index 6103 citations32 works total

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

author position
  • sole author1
  • first author5
  • middle author1
  • last author3

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • math.OC6
  • math.NA3
  • cs.LG1
same name
  • Xiaopeng Luo — 4 papers, h 4
  • Xiaopeng Luo — 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
20182020
most citedAsymptotic proximal point methods: finding the global minima with linear convergence for a class of multiple minima problems

2 citations · 8 across the 10 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

math.OC2019

Contraction methods for continuous optimization

Xiaopeng Luo, Xin Xu

Motivated by the grid search method and Bayesian optimization, we introduce the concept of contractibility and its applications in model-based optimization. First, a basic framewor…

math.NA2019

Numerical meshless solution of high-dimensional sine-Gordon equations via Fourier HDMR-HC approximation

Xin Xu, Xiaopeng Luo, Herschel Rabitz

In this paper, an implicit time stepping meshless scheme is proposed to find the numerical solution of high-dimensional sine-Gordon equations (SGEs) by combining the high dimension…

math.NA2019★ 1 cited

Meshless Hermite-HDMR finite difference method for high-dimensional Dirichlet problems

Xiaopeng Luo, Xin Xu, Herschel Rabitz

In this paper, a meshless Hermite-HDMR finite difference method is proposed to solve high-dimensional Dirichlet problems. The approach is based on the local Hermite-HDMR expansion…

math.NA2019

Sparse residual tree and forest

Xin Xu, Xiaopeng Luo

Sparse residual tree (SRT) is an adaptive exploration method for multivariate scattered data approximation. It leads to sparse and stable approximations in areas where the data is…

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