2 citations · 6 across the 7 of their papers we have counts for
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Adaptive Randomized Tensor Train Rounding using Khatri-Rao Products
Hussam Al Daas, Grey Ballard, Laura Grigori +3
Approximating a tensor in the tensor train (TT) format has many important applications in scientific computing. Rounding a TT tensor involves further compressing a tensor that is a…
An additive two-level parallel variant of the DMRG algorithm with coarse-space correction
Laura Grigori, Muhammad Hassan
The density matrix renormalization group (DMRG) algorithm is a popular alternating minimization scheme for solving high-dimensional optimization problems in the tensor train format…
Randomized Householder QR
Laura Grigori, Edouard Timsit
This paper introduces a randomized Householder QR factorization (RHQR). This factorization can be used to obtain a well conditioned basis of a vector space and thus can be employed…
Randomized Orthogonal Projection Methods for Krylov Subspace Solvers
Edouard Timsit, Laura Grigori, Oleg Balabanov
Randomized orthogonal projection methods (ROPMs) can be used to speed up the computation of Krylov subspace methods in various contexts. Through a theoretical and numerical investi…
A Directional Equispaced interpolation-based Fast Multipole Method for oscillatory kernels
Igor Chollet, Xavier Claeys, Pierre Fortin +1
Fast Multipole Methods (FMMs) based on the oscillatory Helmholtz kernel can reduce the cost of solving N-body problems arising from Boundary Integral Equations (BIEs) in acoustic o…
Accelerating linear system solvers for time domain component separation of cosmic microwave background data
J. Papež, L. Grigori, R. Stompor
Component separation is one of the key stages of any modern, cosmic microwave background (CMB) data analysis pipeline. It is an inherently non-linear procedure and typically involv…