Part of the Progress in Scientific Computing book series (PSC, volume 4)
Nondefective Complex Symmetric Matrices
The FORTRAN codes in this chapter address the question of computing distinct eigenvalues and eigenvectors of a nondefective, complex symmetric matrix, using a single-vector Lanczos procedure. For a given nondefective, complex symmetric matrix A, these codes compute complex scalars À and corresponding complex vectors x ≠ 0 such thatDefinition 7.1.1 A complex nxn matrix A ≡ (aij), 1 ≤ i,j ≤ n, is complex symmetric if and only if for every i and j, aij = aji. A complex symmetric matrix is nondefective if and only if it has a complete set of eigenvectors.
KeywordsDistinct Eigenvalue Inverse Iteration Eigenvalue Computation Ritz Vector History File
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© Birkhäuser Boston, Inc. 1985