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In optimization, augmented Lagrangian method refers to constrained optimization method that adds a quadratic penalty to the Lagrangian and updates multiplier estimates between unconstrained solves. This meaning comes from Hestenes (1969) in Journal of Optimization Theory and Applications.[1]
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