Convergence Rates of Gradient Descent-Ascent Dynamics Under Delays in Solving Nonconvex Min-Max Optimization.
Duy Anh DoThinh T. DoanPublished in: ECC (2024)
Keyphrases
- min max
- convergence rate
- max min
- nonlinear programming
- multiobjective optimization
- global convergence
- optimization problems
- conjugate gradient
- global optimization
- objective function
- step size
- combinatorial optimization
- convergence speed
- cost function
- subgradient method
- learning rate
- primal dual
- variational inequalities
- line search
- quadratic optimization problems
- optimization algorithm
- faster convergence
- stochastic gradient descent
- linear programming
- quadratic programming
- numerical stability
- nsga ii
- lagrange multipliers
- convex optimization
- quadratic program
- linear constraints
- mutation operator
- dynamical systems
- false positives
- number of iterations required
- least squares