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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

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AC OPF in radial distribution networks – Part II: An augmented Lagrangian-based OPF algorithm, distributable via primal decomposition

Subdeterminant Maximization via Nonconvex Relaxations and Anti-Concentration

Scalable greedy algorithms for transfer learning

Computation of a 768-Bit Prime Field Discrete Logarithm

A single-phase, proximal path-following framework

Independence number of generalized Petersen graphs

Fast Robust PCA on Graphs

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

A Polynomial Regularity Lemma For Semialgebraic Hypergraphs And Its Applications In Geometry And Property Testing

An Efficient Streaming Algorithm for the Submodular Cover Problem

Fast Robust PCA on Graphs

Independence number of generalized Petersen graphs

Subdeterminant Maximization via Nonconvex Relaxations and Anti-Concentration

Computation of a 768-Bit Prime Field Discrete Logarithm

An Efficient Streaming Algorithm for the Submodular Cover Problem

Scalable greedy algorithms for transfer learning

AC OPF in radial distribution networks – Part II: An augmented Lagrangian-based OPF algorithm, distributable via primal decomposition

A single-phase, proximal path-following framework

A Polynomial Regularity Lemma For Semialgebraic Hypergraphs And Its Applications In Geometry And Property Testing

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