25 citations · 33 across the 3 of their papers we have counts for
3 papers
math.NA2019★ 1 cited
Post-Processing of High-Dimensional Data
Mike Espig, Wolfgang Hackbusch, Alexander Litvinenko +2
Scientific computations or measurements may result in huge volumes of data. Often these can be thought of representing a real-valued function on a high-dimensional domain, and can…
math.NA2015★ 25 cited
On the Convergence of Alternating Least Squares Optimisation in Tensor Format Representations
Mike Espig, Wolfgang Hackbusch, Aram Khachatryan
The approximation of tensors is important for the efficient numerical treatment of high dimensional problems, but it remains an extremely challenging task. One of the most popular…
math.NA2015★ 7 cited
Convergence of Alternating Least Squares Optimisation for Rank-One Approximation to High Order Tensors
Mike Espig, Aram Khachatryan
The approximation of tensors has important applications in various disciplines, but it remains an extremely challenging task. It is well known that tensors of higher order can fail…