Structured low-rank approximation (SLRA) is a mathematical framework that seeks to approximate a given data matrix by another matrix of lower rank while preserving intrinsic structural properties.

In this paper, we establish hardness and approximation results for various Lp-ball constrained homogeneous polynomial optimization problems, where p ∈ [2, ∞]. Specifically, we prove that for any given ...

We shall propose a method somewhere between the jackknife and the bootstrap. It works under weaker conditions than that of the jackknife, while it requires less numerical computation than that of the ...