Pages that link to "Item:Q312675"
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The following pages link to On the ergodic convergence rates of a first-order primal-dual algorithm (Q312675):
Displaying 25 items.
- A partially inertial customized Douglas-Rachford splitting method for a class of structured optimization problems (Q6184273) (← links)
- Randomized Lagrangian stochastic approximation for large-scale constrained stochastic Nash games (Q6191973) (← links)
- Golden ratio proximal gradient ADMM for distributed composite convex optimization (Q6192034) (← links)
- Convergence Rate Analysis of a Dykstra-Type Projection Algorithm (Q6202756) (← links)
- An FFT-based method for computing weighted minimal surfaces in microstructures with applications to the computational homogenization of brittle fracture (Q6497723) (← links)
- Derivative-free alternating projection algorithms for general nonconvex-concave minimax problems (Q6550978) (← links)
- Parameter-free accelerated gradient descent for nonconvex minimization (Q6561381) (← links)
- A review on the adaptive-ridge algorithm with several extensions (Q6581677) (← links)
- A new prediction-correction primal-dual hybrid gradient algorithm for solving convex minimization problems with Linear constraints (Q6596049) (← links)
- Optimality conditions and numerical algorithms for a class of linearly constrained minimax optimization problems (Q6601202) (← links)
- Interpolation conditions for linear operators and applications to performance estimation problems (Q6601207) (← links)
- Equivalent resolvents of Douglas-Rachford splitting and other operator splitting algorithms: a unified degenerate proximal point analysis (Q6606317) (← links)
- Bregman methods for large-scale optimization with applications in imaging (Q6606442) (← links)
- An approximation proximal gradient algorithm for nonconvex-linear minimax problems with nonconvex nonsmooth terms (Q6607022) (← links)
- Semi-proximal point method for nonsmooth convex-concave minimax optimization (Q6616994) (← links)
- A generalized alternating direction implicit method for consensus optimization: application to distributed sparse logistic regression (Q6631571) (← links)
- Subgradient Langevin methods for sampling from nonsmooth potentials (Q6633041) (← links)
- Efficient algorithms for implementing incremental proximal-point methods (Q6645949) (← links)
- Non-ergodic convergence rate of an inertial accelerated primal-dual algorithm for saddle point problems (Q6649199) (← links)
- Accelerated minimax algorithms flock together (Q6663115) (← links)
- Automated tight Lyapunov analysis for first-order methods (Q6665382) (← links)
- Accelerated first-order methods for a class of semidefinite programs (Q6665390) (← links)
- Practical acceleration of the Condat-Vũ algorithm (Q6666618) (← links)
- Fast convergence of the primal-dual dynamical system and corresponding algorithms for a nonsmooth bilinearly coupled saddle point problem (Q6667694) (← links)
- A distributed primal-dual hybrid gradient algorithm for fair resource allocation (Q6668156) (← links)