Publications associées à Optimisation linéaire

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Convergence of adaptive algorithms for constrained weakly convex optimization

Volkan Cevher, Ahmet Alacaoglu, Yurii Malitskyi

We analyze the adaptive first order algorithm AMSGrad, for solving a constrained stochastic optimization problem with a weakly convex objective. We prove the

\tilde O(t^{-1/2})

rate of convergence for the squared norm of the gradient of Moreau envelope, ...

2021

Optimisation linéaire

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BPX preconditioners for isogeometric analysis using (truncated) hierarchical B-splines

Further Results on Efficient Implementations of Block Cipher Linear Layers

Convergence of adaptive algorithms for constrained weakly convex optimization

Development of advanced linearized gyrokinetic collision operators using a moment approach

Pareto-like sequential sampling heuristic for global optimisation

Forward-reflected-backward method with variance reduction

Deficit Round-Robin: A Second Network Calculus Analysis

Wind Farm Area Shape Optimization Using Newly Developed Multi-Objective Evolutionary Algorithms

Topology-Finding of Tensegrity Structures Considering Global Stability Condition

Random extrapolation for primal-dual coordinate descent

Development of advanced linearized gyrokinetic collision operators using a moment approach

Pareto-like sequential sampling heuristic for global optimisation

Forward-reflected-backward method with variance reduction

Further Results on Efficient Implementations of Block Cipher Linear Layers

Wind Farm Area Shape Optimization Using Newly Developed Multi-Objective Evolutionary Algorithms

BPX preconditioners for isogeometric analysis using (truncated) hierarchical B-splines

Convergence of adaptive algorithms for constrained weakly convex optimization

Deficit Round-Robin: A Second Network Calculus Analysis

Topology-Finding of Tensegrity Structures Considering Global Stability Condition

Random extrapolation for primal-dual coordinate descent