Recent Advances in Eigenvalues Estimates of Special Matrices (Tensors)
This thematic series is devoted to publishing the latest and most significant results in eigenvalues estimates of special matrices (tensors). Its goals are to stimulate further research and to highlight recent advances in these fields as well as to promote, encourage, and bring together researchers in the fields of eigenvalues estimates of special matrices (tensors). In the last decade, spectral theory of matrices (tensors) and related topics emerged as a rapidly growing area of research because of its applications in computational mathematics, mathematical physics, mathematical economics, graph theory and wireless communications, etc. Many new results, including theory, methods and applications, have been developed during the recent years.
Edited by: Jianxing Zhao, Tomohiro Sogabe, Xianming Gu and Shiliang Wu