The limited memory steepest descent method (Fletcher, 2012) for unconstr...
When training neural networks with low-precision computation, rounding e...
Standard multiparameter eigenvalue problems (MEPs) are systems of k≥ 2
l...
We compare two different linear dimensionality reduction strategies for ...
We present two block variants of the discrete empirical interpolation me...
Generalized eigenvalue problems involving a singular pencil may be very
...
Given an approximate eigenvector, its (standard) Rayleigh quotient and
h...
We propose a restricted SVD based CUR (RSVD-CUR) decomposition for matri...
We study the use of inverse harmonic Rayleigh quotients with target for ...
The discrete empirical interpolation method (DEIM) may be used as an ind...
We propose a generalized CUR (GCUR) decomposition for matrix pairs (A, B...
We propose two new methods based on Kaczmarz's method that produce a
reg...