EIGENVALUES OF $Ax~=~lambda$$Bx$ FOR REAL SYMMETRIC MATRICES $A$ AND $B$ COMPUTED BY THE HR PROCESS

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1976-11-25
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Abstract

This paper presents a method for solving the eigenvalue problem Ax = lambdaBx, where A and B are real symmetric but not necessarily positive definite matrices, and B is nonsingular. The method reduces the general case into a form Cz = lambdaz where C is a pseudo-symmetric matrix. A further reduction of C produces a tridiagonal pseudo-symmetric form to which the interactive HR process is applied. The tridiagonal pseudo-symmetric form is invariant under the HR transformations. The amount of computation is significantly less than treating the problem by a general method.

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Computer Science
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