Focusing on special matrices and matrices which are in some sense `near' to structured matrices
this volume covers a broad range of topics of current interest in numerical linear algebra.
Exploitation of these less obvious structural properties can be of great importance in the
design of efficient numerical methods for example algorithms for matrices with low-rank block
structure matrices with decay and structured tensor computations. Applications range from
quantum chemistry to queuing theory. Structured matrices arise frequently in applications.
Examples include banded and sparse matrices Toeplitz-type matrices and matrices with
semi-separable or quasi-separable structure as well as Hamiltonian and symplectic matrices.
The associated literature is enormous and many efficient algorithms have been developed for
solving problems involving such matrices. The text arose from a C.I.M.E. course held in Cetraro
(Italy) in June 2015 which aimed to present this fast growing field to young researchers
exploiting the expertise of five leading lecturers with different theoretical and application
perspectives.
