Publications associées à A Dual Algorithm For L1-Regularized Reconstruction Of Vector Fields

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Large global solutions for energy supercritical nonlinear wave equations on $\R^{3+1}$

Joachim Krieger

For the radial energy-supercritical nonlinear wave equation

\Box u = -u_{tt} + \triangle u = \pm u^7

\R^{3+1}

, we prove the existence of a class of global in forward time

C^\infty

-smooth solutions with infinite critical Sobolev norm $\dot{H}^{\f ...

Springer Verlag2014

A Dual Algorithm For L1-Regularized Reconstruction Of Vector Fields

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Mumford-Shah and Potts Regularization for Manifold-Valued Data

Optical Tomographic Image Reconstruction Based on Beam Propagation and Sparse Regularization

Improved Variational Denoising of Flow Fields with Application to Phase-Contrast MRI Data

A Modulated Closed Form solution for Quantitative Susceptibility Mapping - A thorough evaluation and comparison to iterative methods based on edge prior knowledge

Existence and Uniqueness of Maximal Regular Flows for Non-smooth Vector Fields

Large global solutions for energy supercritical nonlinear wave equations on $\R^{3+1}$

Convex Generalizations of Total Variation Based on the Structure Tensor with Applications to Inverse Problems

Variational Decomposition of Vector Fields in the Presence of Noise

Poisson Image Reconstruction With Hessian Schatten-Norm Regularization

A Dual Algorithm for $ L _{ 1 } $ -Regularized Reconstruction of Vector Fields

Mumford-Shah and Potts Regularization for Manifold-Valued Data

Improved Variational Denoising of Flow Fields with Application to Phase-Contrast MRI Data

Optical Tomographic Image Reconstruction Based on Beam Propagation and Sparse Regularization

A Dual Algorithm for $ L _{ 1 } $ -Regularized Reconstruction of Vector Fields

Existence and Uniqueness of Maximal Regular Flows for Non-smooth Vector Fields

Poisson Image Reconstruction With Hessian Schatten-Norm Regularization

A Modulated Closed Form solution for Quantitative Susceptibility Mapping - A thorough evaluation and comparison to iterative methods based on edge prior knowledge

Convex Generalizations of Total Variation Based on the Structure Tensor with Applications to Inverse Problems

Large global solutions for energy supercritical nonlinear wave equations on $\R^{3+1}$

Variational Decomposition of Vector Fields in the Presence of Noise