Tensor decomposition encompasses a suite of mathematical techniques for expressing high-dimensional data arrays as structured combinations of lower-dimensional factors. By generalising matrix ...
Adaptive decomposition techniques have emerged as a pivotal class of methods in functional analysis, unifying approximation theory, operator theory and signal processing under a common framework. At ...