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LOW-RANK TENSOR METHODS WITH SUBSPACE CORRECTION FOR SYMMETRIC EIGENVALUE PROBLEMS∗
"... Abstract. We consider the solution of large-scale symmetric eigenvalue problems for which it is known that the eigenvectors admit a low-rank tensor approximation. Such problems arise, for example, from the discretization of high-dimensional elliptic PDE eigenvalue problems or in strongly correlated ..."
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Abstract. We consider the solution of large-scale symmetric eigenvalue problems for which it is known that the eigenvectors admit a low-rank tensor approximation. Such problems arise, for example, from the discretization of high-dimensional elliptic PDE eigenvalue problems or in strongly correlated spin systems. Our methods are built on imposing low-rank (block) tensor train (TT) structure on the trace minimization characterization of the eigenvalues. The common approach of al-ternating optimization is combined with an enrichment of the TT cores by (preconditioned) gradients, as recently proposed by Dolgov and Savostyanov for linear systems. This can equivalently be viewed as a subspace correction technique. Several numerical experiments demonstrate the performance gains from using this technique.
Tensor numerical methods for high-dimensional PDEs: Basic theory and initial applications
, 2014
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5.2. Computational Statistical Physics 6
"... 4.3. Homogenization and related problems 5 ..."
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Mathieu LEWIN Chargé de recherche CNRS, Université de Cergy-Pontoise
, 2013
"... Université de Cergy-Pontoise Étude mathématique de modèles quantiques et classiques pour les matériaux aléatoires à l’échelle atomique ..."
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Université de Cergy-Pontoise Étude mathématique de modèles quantiques et classiques pour les matériaux aléatoires à l’échelle atomique
Co-Directeur de thèse
, 2013
"... l’Information et de la Communication Quelques modèles mathématiques en chimie quantique et propagation d’incertitudes Thèse soutenue le 12 juillet 2012 devant le jury composé de: ..."
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l’Information et de la Communication Quelques modèles mathématiques en chimie quantique et propagation d’incertitudes Thèse soutenue le 12 juillet 2012 devant le jury composé de:
Max-Planck-Institut für Mathematik in den Naturwissenschaften Leipzig
"... Grid-based lattice summation of electrostatic potentials by low-rank tensor approximation ..."
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Grid-based lattice summation of electrostatic potentials by low-rank tensor approximation