This book is about computing eigenvalues, eigenvectors, and invariant subspaces of matrices. Treatment includes generalized and structured eigenvalue problems and all vital aspects of eigenvalue computations. A unique feature is the detailed treatment of structured eigenvalue problems, providing insight on accuracy and efficiency gains to be expected from algorithms that take the structure of a matrix into account.
Engineering
[PDF] Numerical Methods for General and Structured Eigenvalue Problems (Lecture Notes in Computational Science and Engineering) Daniel Kressner
$19.99
Reviews
There are no reviews yet.