Publications associées à Quantization Design for Distributed Optimization

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Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

Michaël Unser, Martin Kurt Storath

We consider

L ^{ 1 }

-TV regularization of univariate signals with values on the real line or on the unit circle. While the real data space leads to a convex optimization problem, the problem is nonconvex for circle-valued data. In this paper, we deriv ...

SIAM2016

Quantization Design for Distributed Optimization

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Splitting Methods for Distributed Optimization and Control

Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

Quantization Design for Distributed Optimization

Quantization Design for Unconstrained Distributed Optimization

Directional Real-Time Optimization Applied to a Kite-Control Simulation Benchmark

Learning of Closed-Loop Motion Control

Path-following gradient-based decomposition algorithms for separable convex optimization

A Branch-and-Price Algorithm to Solve the Integrated Berth Allocation and Yard Assignment Problem in Bulk Ports

Geometric Variational Models for Inverse Problems in Imaging

Coordination and Sampling in Distributed Constraint Optimization

Splitting Methods for Distributed Optimization and Control

Quantization Design for Distributed Optimization

Quantization Design for Unconstrained Distributed Optimization

Path-following gradient-based decomposition algorithms for separable convex optimization

Directional Real-Time Optimization Applied to a Kite-Control Simulation Benchmark

Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

A Branch-and-Price Algorithm to Solve the Integrated Berth Allocation and Yard Assignment Problem in Bulk Ports

Coordination and Sampling in Distributed Constraint Optimization

Geometric Variational Models for Inverse Problems in Imaging

Learning of Closed-Loop Motion Control