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MATHICSE Technical Report: Reduced basis methods: from low-rank matrices to low-rank tensor

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MATHICSE Technical Report: Reduced basis methods: from low-rank matrices to low-rank tensor

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Low-rank methods for parameter-dependent eigenvalue problems and matrix equations

Preconditioned Low-Rank Riemannian Optimization For Linear Systems With Tensor Product Structure

Multilinear Low-Rank Tensors on Graphs & Applications

Low-rank tensor approximation for high-order correlation functions of Gaussian random fields

MATHICSE Technical Report : Preconditioned low-rank Riemannian optimization for linear systems with tensor product structure

Truncated low-rank methods for solving general linear matrix equations

A reduced basis localized orthogonal decomposition

MATHICSE Technical Report : Low-rank tensor approximation for high-order correlation functions of Gaussian random fields

An Error Analysis Of Galerkin Projection Methods For Linear Systems With Tensor Product Structure

A preconditioned low-rank CG method for parameter-dependent Lyapunov matrix equations