Mathematics - Optimization and Control

GPU-Accelerated Conic Quadratic Programming with Local Linear Convergence under Strict Complementarity

PDHCG-CQP extends GPU-accelerated first-order optimization to conic quadratic programs, with local linear convergence guarantees and multi-GPU execution.

Aug 10, 2026

A Curvature-Aware Rank-Adaptive Distributed Augmented-Lagrangian Solver for Large-Scale SDPs

Jul 20, 2026

PDHCG-II: An Enhanced Version of PDHCG for Large-Scale Convex QP

Feb 1, 2026

D-PDLP: Scaling PDLP to Distributed Multi-GPU Systems

Jan 1, 2026

PDHCG: A Scalable First-Order Method for Large-Scale Competitive Market Equilibrium Computation

Jun 1, 2025

BenLOC: A Benchmark for Learning to Configure MIP Optimizers

Jun 1, 2025

Solving Integrated Process Planning and Scheduling Problem via Graph Neural Network Based Deep Reinforcement Learning

Sep 1, 2024