1 citations · 1 across the 2 of their papers we have counts for
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Homogeneous second-order descent framework: a fast alternative to Newton-type methods
Chang He, Yuntian Jiang, Chuwen Zhang +3
This paper proposes a homogeneous second-order descent framework (HSODF) for nonconvex and convex optimization based on the generalized homogeneous model (GHM). In comparison to th…
A homogeneous second-order descent method for nonconvex optimization
Chuwen Zhang, Dongdong Ge, Chang He +4
In this paper, we introduce a Homogeneous Second-Order Descent Method (HSODM) using the homogenized quadratic approximation to the original function. The merit of homogenization is…
Cardinal Optimizer (COPT) User Guide
Dongdong Ge, Qi Huangfu, Zizhuo Wang +2
Cardinal Optimizer is a high-performance mathematical programming solver for efficiently solving largescale optimization problem. This documentation provides basic introduction to…
Data-driven Mixed Integer Optimization through Probabilistic Multi-variable Branching
Yanguang Chen, Wenzhi Gao, Wanyu Zhang +3
In this paper, we propose a Pre-trained Mixed Integer Optimization framework (PreMIO) that accelerates online mixed integer program (MIP) solving with offline datasets and machine…
From an Interior Point to a Corner Point: Smart Crossover
Dongdong Ge, Chengwenjian Wang, Zikai Xiong +1
Identifying optimal basic feasible solutions to linear programming problems is a critical task for mixed integer programming and other applications. The crossover method, which aim…
Solving Linear Programs with Fast Online Learning Algorithms
Wenzhi Gao, Dongdong Ge, Chunlin Sun +1
This paper presents fast first-order methods for solving linear programs (LPs) approximately. We adapt online linear programming algorithms to offline LPs and obtain algorithms tha…