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Showing 1 to 3 of 3 for “"augmented Lagrangian methods"”.
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Novel first-order methods for bilevel and minimax optimization.
… optimization and develops novel first-order methods with strong theoretical guarantees for solving both classes of problems. Specifically, we study a class of constrained minimax problems and propose efficient augmented Lagrangian methods with complexity guarantees for both nonconvex-concave …
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An augmented Lagrangian algorithm for optimization with equality constraints in Hilbert spaces
Since augmented Lagrangian methods were introduced by Powell and Hestenes, this class of methods has been investigated very intensively. While the finite dimensional case has been treated in a satisfactory manner, the infinite dimensional case is studied much less. The general approach to solve an …
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Distributed Optimization Algorithms for Networked Systems
<p>Distributed optimization methods allow us to decompose an optimization problem</p><p>into smaller, more manageable subproblems that are solved in parallel. For this</p><p>reason, they are widely used to solve large-scale problems arising in areas as diverse</p><p>as wireless communications, …