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Symplectic Methods for the Symplectic Eigenproblem (Hardcover, 2002 ed.)
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Symplectic Methods for the Symplectic Eigenproblem (Hardcover, 2002 ed.)
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The solution of eigenvalue problems is an integral part of many
scientific computations. For example, the numerical solution of
problems in structural dynamics, electrical networks,
macro-economics, quantum chemistry, and c- trol theory often
requires solving eigenvalue problems. The coefficient matrix of the
eigenvalue problem may be small to medium sized and dense, or large
and sparse (containing many zeroelements). In the past tremendous
advances have been achieved in the solution methods for symmetric
eigenvalue pr- lems. The state of the art for nonsymmetric problems
is not so advanced; nonsymmetric eigenvalue problems can be
hopelessly difficult to solve in some situations due, for example,
to poor conditioning. Good numerical algorithms for nonsymmetric
eigenvalue problems also tend to be far more complex than their
symmetric counterparts. This book deals with methods for solving a
special nonsymmetric eig- value problem; the symplectic eigenvalue
problem. The symplectic eigenvalue problem is helpful, e.g., in
analyzing a number of different questions that arise in linear
control theory for discrete-time systems. Certain quadratic
eigenvalue problems arising, e.g., in finite element discretization
in structural analysis, in acoustic simulation of poro-elastic
materials, or in the elastic deformation of anisotropic materials
can also lead to symplectic eigenvalue problems. The problem
appears in other applications as well.
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