All norms in this section are defined elementwise. To recap, we solve the following problem: min ‖X‖1 s.t. ‖Z−E‖ ∞ ≤ λ,CX = Z. (1) The Lagrangian of (1) is L(X,Z,Y) = ‖X‖1 + ρ〈Y,CX − Z 〉 , (2) where ‖Z−E‖ ∞ ≤ λ. Assume that {X∗,Z∗,Y∗} satisfies the KKT conditions of (2), i.e., −ρCTY ∗ ∈ ∂‖X∗‖1, (3
We investigate the convergence rate of the optimal entropic cost vε to the optimal transport cost as...
We consider the global and local convergence properties of a class of augmented Lagrangian methods f...
In many optimization problems, a solution can be viewed as ascribing a “cost” to each client and the...
The problem under consideration is the nonlinear optimization problem min f(x) text{ subject to } x ...
SIGLETIB Hannover: RO 8278(90-031) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Inf...
We give a derivation of the result for the rate of linear convergence in p. 4 of the paper. Consider...
AbstractLet φ and ψ be any norms on Rm and Rn respectively. We study a subgradient method for comput...
In this paper we prove the L² convergence rates for a fully discrete finite element procedure for a...
Let (X,ε,μ) be a measure space and let ƒ:X→ ℝ be a measurable function such that ||ƒ||p < ∞ for a...
Abstract Let us denote by Pd the set of all probability measures on IRd (d ≥ 2), and by M(µ) the set...
A very simple and efficient approach to deriving estimates of the convergence rate for the penalty m...
Analysis of the convergence rates of modern convex optimization algorithms can be achived through bi...
textabstractWe consider the problem of minimizing a continuous function f over a compact set (Formul...
We analyze the rate of local convergence of the augmented Lagrangian method in nonlinear semidefinit...
We derive rates of convergence for limit theorems that reveal the intricate structure of the phase t...
We investigate the convergence rate of the optimal entropic cost vε to the optimal transport cost as...
We consider the global and local convergence properties of a class of augmented Lagrangian methods f...
In many optimization problems, a solution can be viewed as ascribing a “cost” to each client and the...
The problem under consideration is the nonlinear optimization problem min f(x) text{ subject to } x ...
SIGLETIB Hannover: RO 8278(90-031) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Inf...
We give a derivation of the result for the rate of linear convergence in p. 4 of the paper. Consider...
AbstractLet φ and ψ be any norms on Rm and Rn respectively. We study a subgradient method for comput...
In this paper we prove the L² convergence rates for a fully discrete finite element procedure for a...
Let (X,ε,μ) be a measure space and let ƒ:X→ ℝ be a measurable function such that ||ƒ||p < ∞ for a...
Abstract Let us denote by Pd the set of all probability measures on IRd (d ≥ 2), and by M(µ) the set...
A very simple and efficient approach to deriving estimates of the convergence rate for the penalty m...
Analysis of the convergence rates of modern convex optimization algorithms can be achived through bi...
textabstractWe consider the problem of minimizing a continuous function f over a compact set (Formul...
We analyze the rate of local convergence of the augmented Lagrangian method in nonlinear semidefinit...
We derive rates of convergence for limit theorems that reveal the intricate structure of the phase t...
We investigate the convergence rate of the optimal entropic cost vε to the optimal transport cost as...
We consider the global and local convergence properties of a class of augmented Lagrangian methods f...
In many optimization problems, a solution can be viewed as ascribing a “cost” to each client and the...