Publications associées à On multiscale methods in Petrov-Galerkin formulation

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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 multiscale methods in Petrov-Galerkin formulation

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Fast assembly of Galerkin matrices for 3D solid laminated composites using finite element and isogeometric discretizations

Local Approximation of the Maximum Cut in Regular Graphs

Fast assembly of Galerkin matrices for 3D solid laminated composites using finite element and isogeometric discretizations

An FFT-based Numerical Method for Elasto-Plastic Contact

Super Resolution Phase Retrieval for Sparse Signals

K-Adaptability in Two-Stage Distributionally Robust Binary Programming

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

Fast assembly of Galerkin matrices for 3D solid laminated composites using finite element and isogeometric discretizations

An FFT-based Numerical Method for Elasto-Plastic Contact

Efficient algorithms for wave problems

Super Resolution Phase Retrieval for Sparse Signals

Fast assembly of Galerkin matrices for 3D solid laminated composites using finite element and isogeometric discretizations

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

Local approximation of the Maximum Cut in regular graphs

Discrete Optimal Transport with Independent Marginals is #P-Hard

Local Approximation of the Maximum Cut in Regular Graphs

K-Adaptability in Two-Stage Distributionally Robust Binary Programming