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Jonathan Eckstein

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Preprint Jul 2026

Using Subproblem Objective Gaps in Inexact Augmented Lagrangian and ADMM Algorithms, with Applications to Stochastic Mixed Integer Programming

This paper shows how bounds on subproblem objective value suboptimality can be used in inexact augmented Lagrangian methods and ADMM algorithms, and enables two new approaches to computing Lagrangian bounds on the optimal values of stochastic mixed-integer programming problems.

Jonathan Eckstein · 0 citations

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