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.

• •Presents a variational characterization for nonnegative tensors.
• •Introduces a Line Search Newton-Noda method.
• •Addresses the spectral problem, relevant for machine learning.