collaborators

7 papers

math.OC2026

FlashFolio: A GPU-Accelerated Solver for Portfolio Optimization

Yilun Jiang, Haihao Lu, Zedong Peng +1

We present FlashFolio, a GPU-accelerated solver for single-period and multi-period portfolio optimization with factor-based risk modeling, bid-offer spread costs, and nonlinear mar…

math.OC2026

Active set identification and rapid convergence for degenerate primal-dual problems

Mateo Díaz, Pedro Izquierdo Lehmann, Haihao Lu +1

Primal-dual methods for solving convex optimization problems with functional constraints often exhibit a distinct two-stage behavior. Initially, they converge towards a solution at…

math.OC2026

MPAX: Mathematical Programming in JAX

Haihao Lu, Zedong Peng, Jinwen Yang

We present MPAX (Mathematical Programming in JAX), an open-source first-order solver for large-scale linear programming (LP) and convex quadratic programming (QP) built natively in…

math.OC2025

cuPDLPx: A Further Enhanced GPU-Based First-Order Solver for Linear Programming

Haihao Lu, Zedong Peng, Jinwen Yang

We introduce cuPDLPx, a further enhanced GPU-based first-order solver for linear programming. Building on the recently developed restarted Halpern PDHG for LP, cuPDLPx incorporates…

math.OC2025

A Practical and Optimal First-Order Method for Large-Scale Convex Quadratic Programming

Haihao Lu, Jinwen Yang

Convex quadratic programming (QP) is an important class of optimization problem with wide applications in practice. The classic QP solvers are based on either simplex or barrier me…

math.OC2025

An Overview of GPU-based First-Order Methods for Linear Programming and Extensions

Haihao Lu, Jinwen Yang

The rapid progress in GPU computing has revolutionized many fields, yet its potential in mathematical programming, such as linear programming (LP), has only recently begun to be re…