A dual approach to Kohn-Vogelius regularization applied to data completion problem

Abstract—A well-known issue in blind convolutive source separation is that the sources and filters are at best identifiable up to an arbitrary scaling and permutation at each

2 Key words; anyon, Haldane statistics, low temperature kinetic theory, quantum Boltzmann equation.... Here dω corresponds to the Lebesgue probability measure on

Then to cope with the loss of regularity of the perturbation with respect to the background state due to the degeneracy of the equation, we apply the Nash-Moser-H¨ ormander iter-

This work generalizes the use of duality in the theory of Markov processes as proposed by Sigmund (see Anderson’s book). The dual doesn’t

Theorem 2. The following theorem makes a relation among the H¨older-regularity of the coefficients of the principal part, the bound on its derivatives and the order of the Gevrey

Our signature method is a variant of Balinski's [3] compétitive (dual) simplex algorithm. It constructs rooted trees that have precisely the same primai structure as Balinski's

(3.2) In order to establish the global existence of a solution of the Hall-MHD system in the case of small data, we shall first prove the corresponding result for the extended

The purpose of the first experience is to assess the solution obtained by means of the Discrepancy Principle combined to the iterative preconditioned Richardson method.. The meshes