Publications associées à On the complexity of fixed parameter clique and dominating set

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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

On the complexity of fixed parameter clique and dominating set

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

Collision-Free Pattern Formation

Convex block-sparse linear regression with expanders - provably

Observations on the LPN Solving Algorithm from Eurocrypt'16

Integration of an IEEE Std. C37.118 compliant PMU into a real-time simulator

Solving the Shortest Vector Problem in 2^n Time via Discrete Gaussian Sampling

An Incremental Anytime Algorithm for Multi-Objective Query Optimization

Adaptation and Awareness in Robot Ensembles: Scenarios and Algorithms

Unlabeled Sensing

Asynchronized Concurrency: The Secret to Scaling Concurrent Search Data Structures

An Incremental Anytime Algorithm for Multi-Objective Query Optimization

Asynchronized Concurrency: The Secret to Scaling Concurrent Search Data Structures

Solving the Shortest Vector Problem in 2^n Time via Discrete Gaussian Sampling

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

Integration of an IEEE Std. C37.118 compliant PMU into a real-time simulator

Adaptation and Awareness in Robot Ensembles: Scenarios and Algorithms

Unlabeled Sensing

Collision-Free Pattern Formation

Convex block-sparse linear regression with expanders - provably

Observations on the LPN Solving Algorithm from Eurocrypt'16