Time Rescaling of a Primal-Dual Dynamical System with Asymptotically Vanishing Damping. [PDF]
Appl Math Optim, 2023 Hulett DA, Nguyen DK.
europepmc +1 more source
Fast Augmented Lagrangian Method in the convex regime with convergence guarantees for the iterates. [PDF]
Math Program, 2023 Boţ RI, Csetnek ER, Nguyen DK.
europepmc +1 more source
A Non-Monotone Conjugate Subgradient Type Method for Minimization of Convex Functions
, 2019 We suggest a conjugate subgradient type method without any line-search for minimization of convex non differentiable functions. Unlike the custom methods of this class, it does not require monotone decrease of the goal function and reduces the ...
Konnov, Igor
core
Tensor methods for finding approximate stationary points of convex functions. [PDF]
Optim Methods Softw, 2022 Grapiglia GN, Nesterov Y.
europepmc +1 more source
On the asymptotic behavior of the Douglas-Rachford and proximal-point algorithms for convex optimization. [PDF]
Optim Lett, 2021 Banjac G, Lygeros J.
europepmc +1 more source
Minimizing Uniformly Convex Functions by Cubic Regularization of Newton Method. [PDF]
J Optim Theory Appl, 2021 Doikov N, Nesterov Y.
europepmc +1 more source
New duality results for evenly convex optimization problems. [PDF]
Optimization, 2021 Fajardo MD, Grad SM, Vidal J.
europepmc +1 more source
Local convergence of tensor methods. [PDF]
Math Program, 2022 Doikov N, Nesterov Y.
europepmc +1 more source
Implementable tensor methods in unconstrained convex optimization. [PDF]
Math Program, 2021 Nesterov Y.
europepmc +1 more source