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Randomized Algorithms for Low-Rank Matrix Factorizations:Sharp Performance Bounds
Randomized Algorithms Low-Rank Matrix Factorizations Sharp Performance Bounds
2015/6/17
The development of randomized algorithms for numerical linear algebra, e.g. for computing approximate QR and SVD factorizations, has recently become an intense area of research. This paper studies one...
Matrix factorizations and singularity categories for stacks
Matrix factorizations singularity categories for stacks
2010/11/23
We study matrix factorizations of a section W of a line bundle on an algebraic stack. We relate the corresponding derived category (the category of D-branes of type B in the Landau-Ginzburg model with...
In this paper we prove a version of curved Koszul duality for Z/2Zgraded curved (dg) (co)algebras. A curved version of the homological perturbation lemma is also obtained as a useful technical tool fo...