activity
20132025
most citedJuMP: A Modeling Language for Mathematical Optimization

1.3k citations · 2.4k across the 25 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

hep-th2021

From Quantum Codes to Gravity: A Journey of Gravitizing Quantum Mechanics

ChunJun Cao

In this note, I review a recent approach to quantum gravity that "gravitizes" quantum mechanics by emerging geometry and gravity from complex quantum states. Drawing further insigh…

math.OC2021★ 13 cited

Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient

David Applegate, Mateo Díaz, Oliver Hinder +4

We present PDLP, a practical first-order method for linear programming (LP) that can solve to the high levels of accuracy that are expected in traditional LP applications. In addit…

math.OC2021★ 40 cited

Faster First-Order Primal-Dual Methods for Linear Programming using Restarts and Sharpness

David Applegate, Oliver Hinder, Haihao Lu +1

First-order primal-dual methods are appealing for their low memory overhead, fast iterations, and effective parallelization. However, they are often slow at finding high accuracy s…

math.OC2021

Shapes and recession cones in mixed-integer convex representability

Ilias Zadik, Miles Lubin, Juan Pablo Vielma

Mixed-integer convex representable (MICP-R) sets are those sets that can be represented exactly through a mixed-integer convex programming formulation. Following up on recent work…

math.OC2021★ 3 cited

Infeasibility detection with primal-dual hybrid gradient for large-scale linear programming

David Applegate, Mateo Díaz, Haihao Lu +1

We study the problem of detecting infeasibility of large-scale linear programming problems using the primal-dual hybrid gradient method (PDHG) of Chambolle and Pock (2011). The lit…