Leftovers in my RSS reader

I am migrating to a new laptop and, as usual, this is a bit more work than I expected…

One issue I could not resolve to my satisfaction was the migration of my RSS-archives in Akregator (especially since I plan to switch to a different feed reader). Hence, I just collect in this post the posts and articles I planned to read or wanted to keep for some reason:

From nuit-blanche we have:

• Sunday Morning Insight: QTT format and the TT-Toolbox -implementation-
• L1 Homotopy: A MATLAB Toolbox for Homotopy Algorithms in L1 Norm Minimization Problems -implementation - 
• Error Forgetting of Bregman Iteration (demo)

Form the blog of Clément Mouhot I have

• Many-particle systems and kinetic theory (short course) 
• Final published version of “Kac’s program in kinetic theory”

And there are some articles:

• From the Journal on Mathematical Imaging and Vision: Modelling Convex Shape Priors and Matching Based on the Gromov-Wasserstein Distance
• From Numerische Mathematik: Approximation of sparse controls in semilinear equations by piecewise linear functions
• From Mathematical Programming: Randomized first order algorithms with applications to -minimization
• From the SIAM Journal on Imaging Science: A Total Variation–Based JPEG Decompression Model
• From the IEEE Transactions on Image Processing: Efficient Algorithm for Nonconvex Minimization and Its Application to PM Regularization

And some preprints from the arxiv:

• On a macroscopic limit of a kinetic model of alignment
• Convergence rates in -regularization if the sparsity assumption fails 
• A glimpse into the differential topology and geometry of optimal transport. (arXiv:1207.1867v2 [math.OC] UPDATED)

And finally there is a review on a book I planned to buy: A Mathematician Comes of Age by Steven G. Krantz.

Moreover, there is a list of posts which I marked with “Important”:

• A class of quasi-variational inequalities for adaptive image denoising and decomposition
• What is “exact recovery”?
• Prox-regularity of rank constraint sets and implications for algorithms.
• Hodge Theory on Metric Spaces
• Regularizers for structured sparsity
• Robust Sparse Analysis Regularization.
• Identification of the coefficients in the linear Boltzmann equation by a finite number of boundary measurements.
• A sufficient condition on monotonic increase of the number of nonzero entry in the optimizer of L1 norm penalized least-square problem.
• Cucker-Smale Flocking Under Hierarchical Leadership and Random Interactions

 

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