Work

PDLP: a practical first-order method for large-scale linear programming

Year: 2026

Type: article

Source: Mathematical Programming Computation

DOI: 10.1007/s12532-026-00309-2

Authors: David Applegate, Mateo Díaz, Oliver Hinder, Haihao Lu, Miles Lubin, Brendan O’Donoghue, Warren Schudy

Institutions: Google (United States), Johns Hopkins University, University of Pittsburgh, Massachusetts Institute of Technology, Google DeepMind (United Kingdom)

Language: English

Topic: Advanced Optimization Algorithms Research

Subfield: Numerical Analysis

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, University of Pittsburgh, Center for Research Computing, University of Pittsburgh

Awards: G1370689234, G3025648356, G3384453195, MRI: Acquisition of Cutting-Edge GPU and MPI Nodes for the Interdisciplinary Pitt Center for Research Computing

OpenAlex ID: W7161265104

FWCI: 38.84

Cites: 66

Cited by: 29

Related to: 10