Randomized low-rank approximation and its applications

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This work is concerned with computing low-rank approximations of a matrix function f(A) for a large symmetric positive semidefinite matrix A, a task that arises in, e.g., statistical learning and inverse problems. The application of popular randomized meth ...

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Randomized low-rank approximation and its applications

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Adaptive isogeometric methods with C-1 (truncated) hierarchical splines on planar multi-patch domains

Emergent non-Hermitian localization phenomena in the synthetic space of zero-dimensional bosonic systems

Ultra-High Sensitivity Silicon Nanowire Array Biosensor Based on a Constant-Current Method for Continuous Real-Time pH and Protein Monitoring in Interstitial Fluid

Randomized Low-Rank Approximation Of Monotone Matrix Functions

Singular quadratic eigenvalue problems: linearization and weak condition numbers

High order geometric methods with splines: fast solution with explicit time-stepping for Maxwell equations

Distributionally Robust Linear Quadratic Control

Low-Rank Tensor Approximations for Solving Multimarginal Optimal Transport Problems\ast

Low-Rank Tensor Methods for High-Dimensional Problems

A model for the consolidation of hybrid textiles considering air entrapment, dissolution and diffusion