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EXPLOITING HIDDEN STRUCTURE IN MATRIX COMPUTATIONS IBD

SPRINGER
02 / 2017
9783319498867
Inglés

Sinopsis

Focusing on special matrices and matrices which are in some sense `nearâÇÖ 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.áStructured 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.áThe text arose from a C.I.M.E. course held in Cetraro (Italy) áin 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.

PVP
105,97