activity
20172022
most citedFrom differential equation solvers to accelerated first-order methods for convex optimization

56 citations · 89 across the 15 of their papers we have counts for

collaborators

16 papers

math.OC2022★ 1 cited

A universal accelerated primal-dual method for convex optimization problems

Hao Luo

This work presents a universal accelerated first-order primal-dual method for affinely constrained convex optimization problems. It can handle both Lipschitz and Hölder gradients b…

math.OC2022

An efficient semismooth Newton-AMG-based inexact primal-dual algorithm for generalized transport problems

Jun Hu, Hao Luo, Zihang Zhang

This work is concerned with the efficient optimization method for solving a large class of optimal mass transport problems. An inexact primal-dual algorithm is presented from the t…

math.OC2021★ 2 cited

A unified differential equation solver approach for separable convex optimization: splitting, acceleration and nonergodic rate

Hao Luo, Zihang Zhang

This paper provides a self-contained ordinary differential equation solver approach for separable convex optimization problems. A novel primal-dual dynamical system with built-in t…

math.OC2021

Accelerated primal-dual methods for linearly constrained convex optimization problems

Hao Luo

This work proposes an accelerated primal-dual dynamical system for affine constrained convex optimization and presents a class of primal-dual methods with nonergodic convergence ra…

math.OC2021★ 5 cited

A Unified Convergence Analysis of First Order Convex Optimization Methods via Strong Lyapunov Functions

Long Chen, Hao Luo

We present a unified convergence analysis for first order convex optimization methods using the concept of strong Lyapunov conditions. Combining this with suitable time scaling fac…

math.NA2021

Optimal error estimation of a time-spectral method for fractional diffusion problems with low regularity data

Hao Luo, Xiaoping Xie

This paper is devoted to the error analysis of a time-spectral algorithm for fractional diffusion problems of order (). The solution regularity in the Sobolev space i…

math.OC2021★ 4 cited

A primal-dual flow for affine constrained convex optimization

Hao Luo

We introduce a novel primal-dual flow for affine constrained convex optimization problems. As a modification of the standard saddle-point system, our primal-dual flow is proved to…

math.OC2021★ 3 cited

Accelerated differential inclusion for convex optimization

Hao Luo

This paper introduces a second-order differential inclusion for unconstrained convex optimization. In continuous level, solution existence in proper sense is obtained and exponenti…

math.OC2019★ 10 cited

First order optimization methods based on Hessian-driven Nesterov accelerated gradient flow

Long Chen, Hao Luo

A novel dynamical inertial Newton system, which is called Hessian-driven Nesterov accelerated gradient (H-NAG) flow is proposed. Convergence of the continuous trajectory are establ…

math.OC2019★ 56 cited

From differential equation solvers to accelerated first-order methods for convex optimization

Hao Luo, Long Chen

Convergence analysis of accelerated first-order methods for convex optimization problems are presented from the point of view of ordinary differential equation solvers. A new dynam…

math.NA2019★ 1 cited

Convergence analysis of a Petrov-Galerkin method for fractional wave problems with nonsmooth data

Hao Luo, Binjie Li, Xiaoping Xie

This paper analyzes the convergence of a Petrov-Galerkin method for time fractional wave problems with nonsmooth data. Well-posedness and regularity of the weak solution to the tim…

math.NA2018

Error estimation of a discontinuous Galerkin method for time fractional subdiffusion problems with nonsmooth data

Binjie Li, Hao Luo, Xiaoping Xie

This paper is devoted to the numerical analysis of a piecewise constant discontinuous Galerkin method for time fractional subdiffusion problems. The regularity of weak solution is…

math.NA2018★ 2 cited

Analysis of a time-stepping scheme for time fractional diffusion problems with nonsmooth data

Binjie Li, Hao Luo, Xiaoping Xie

This paper establishes the convergence of a time-steeping scheme for time fractional diffusion problems with nonsmooth data. We first analyze the regularity of the model problem wi…

math.NA2018★ 2 cited

A space-time finite element method for fractional wave problems

Binjie Li, Hao Luo, Xiaoping Xie

This paper analyzes a space-time finite element method for fractional wave problems. The method uses a Petrov-Galerkin type time-stepping scheme to discretize the time fractional d…

math.NA2017

Analysis of a time-stepping discontinuous Galerkin method for modified anomalous subdiffusion problems

Binjie Li, Hao Luo, Xiaoping Xie

This paper analyzes a time-stepping discontinuous Galerkin method for modified anomalous subdiffusion problems with two time fractional derivatives of orders and ($ 0 < α…

math.NA2017★ 3 cited

A time-spectral algorithm for fractional wave problems

Binjie Li, Hao Luo, Xiaoping Xie

This paper develops a high-accuracy algorithm for time fractional wave problems, which employs a spectral method in the temporal discretization and a finite element method in the s…