A first-order augmented Lagrangian method for constrained minimax optimization

01/05/2023
by   Zhaosong Lu, et al.
0

In this paper we study a class of constrained minimax problems. In particular, we propose a first-order augmented Lagrangian method for solving them, whose subproblems turn out to be a much simpler structured minimax problem and are suitably solved by a first-order method recently developed in [26] by the authors. Under some suitable assumptions, an operation complexity of O(ε^-4logε^-1), measured by its fundamental operations, is established for the first-order augmented Lagrangian method for finding an ε-KKT solution of the constrained minimax problems.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset
Success!
Error Icon An error occurred

Sign in with Google

×

Use your Google Account to sign in to DeepAI

×

Consider DeepAI Pro