A research team that includes Mateo Diaz, assistant professor in the Department of Applied Mathematics and Statistics, has won the 2024 Beale–Orchard-Hays Prize for Excellence in Computational Mathematical Programming. Conferred every three years by the Mathematical Optimization Society, the award recognizes the team’s groundbreaking work on Primal-Dual Linear Programming (PDLP).
Mateo Diaz’s team won the 2024 Beale–Orchard-Hays Prize for their work on Primal-Dual Linear ProgrammingThe prize was presented this summer at the International Symposium on Mathematical Programming, where the team was commended for “its long-term potential to make first-order methods a practical option to solve large-scale linear programming problems; its adaptability to GPUs and other parallel computing architectures; the careful algorithmic engineering work to make the methods practical; and the sophisticated and innovative analysis used to justify and describe the performance of the algorithms.”
Their code now ships with Google OR Tools (a software suite for optimization).