Novel Optimization Methods for Nonnegative Tensor Spectral Analysis

This research explores variational characterization and a Newton-Noda method for spectral problems in nonnegative tensors, contributing to the understanding of tensor analysis. The focus on nonnegative tensors has implications for various machine learning and data analysis applications.