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20072026
most citedAdaptive Primal-Dual Hybrid Gradient Methods for Saddle-Point Problems

97 citations · 225 across the 33 of their papers we have counts for

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6 papers · 1 filter

math.NA2026

From Pólya's Conditions to a Complete Characterization of the Convergence of Hyperinterpolation

Congpei An, Xiannan Hu, Xiaoming Yuan

It has remained open to identify the necessary and sufficient conditions for the convergence of hyperinterpolation since it was introduced by Sloan in 1995. We show that the…

math.NA2026

An Optimization Approach to Weight Collocation for Scattered Spherical Data

Congpei An, Xiannan Hu, Xiaoming Yuan

We introduce an optimization approach for constructing spherical quadrature rules on arbitrarily scattered data. Rather than designing node placements, the new approach focuses on…

math.NA2023★ 1 cited

Breaking quadrature exactness: A spectral method for the Allen--Cahn equation on spheres

Hao-Ning Wu, Xiaoming Yuan

We present a novel spectral method for the Allen-Cahn equation on spheres, eliminating the reliance on conventional quadrature exactness conditions. By replacing these conditions w…

math.NA2021★ 9 cited

The springback penalty for robust signal recovery

Congpei An, Hao-Ning Wu, Xiaoming Yuan

We propose a new penalty, the springback penalty, for constructing models to recover an unknown signal from incomplete and inaccurate measurements. Mathematically, the springback p…

math.NA2021★ 5 cited

An ADMM-Newton-CNN Numerical Approach to a TV Model for Identifying Discontinuous Diffusion Coefficients in Elliptic Equations: Convex Case with Gradient Observations

Wenyi Tian, Xiaoming Yuan, Hangrui Yue

Identifying the discontinuous diffusion coefficient in an elliptic equation with observation data of the gradient of the solution is an important nonlinear and ill-posed inverse pr…

math.NA2013★ 97 cited

Adaptive Primal-Dual Hybrid Gradient Methods for Saddle-Point Problems

Tom Goldstein, Min Li, Xiaoming Yuan +2

The Primal-Dual hybrid gradient (PDHG) method is a powerful optimization scheme that breaks complex problems into simple sub-steps. Unfortunately, PDHG methods require the user to…