Publications associées à K-Adaptability in Two-Stage Robust Binary Programming

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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

K-Adaptability in Two-Stage Robust Binary Programming

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Extreme Image Completion

K-Adaptability in Two-Stage Distributionally Robust Binary Programming

A Comment on “Computational Complexity of Stochastic Programming Problems”

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

Phase Transitions in Group Testing

Heat recovery networks synthesis of large-scale industrial sites: Heat load distribution problem with virtual process subsystems

Modified group delay feature based total variability space modelling for speaker recognition

Rigorous optimization recipes for sparse and low rank inverse problems with applications in data sciences

Stochastic MPC framework for controlling the average constraint violation

Enhanced Interpolated-DFT for Synchrophasor Estimation in FPGAs: Theory, Implementation, and Validation of a PMU Prototype

Extreme Image Completion

K-Adaptability in Two-Stage Distributionally Robust Binary Programming

A Comment on “Computational Complexity of Stochastic Programming Problems”

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

Phase Transitions in Group Testing

Rigorous optimization recipes for sparse and low rank inverse problems with applications in data sciences

Heat recovery networks synthesis of large-scale industrial sites: Heat load distribution problem with virtual process subsystems

Modified group delay feature based total variability space modelling for speaker recognition

Enhanced Interpolated-DFT for Synchrophasor Estimation in FPGAs: Theory, Implementation, and Validation of a PMU Prototype

Stochastic MPC framework for controlling the average constraint violation