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Journal ArticleDOI

Simplified calculation of eigenvector derivatives

Richard B. Nelson
- 01 Sep 1976 - 
- Vol. 14, Iss: 9, pp 1201-1205
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TLDR
A simplified procedure is presented for the determination of the derivatives of eigenvectors of nth order algebraic eigensystems, applicable to symmetric or nonsymmetric systems, and requires knowledge of only one eigenvalue and its associated right and left eigenavectors.
Abstract
A simplified procedure is presented for the determination of the derivatives of eigenvectors of nth order algebraic eigensystems. The method is applicable to symmetric or nonsymmetric systems, and requires knowledge of only one eigenvalue and its associated right and left eigenvectors. In the procedure, the matrix of the original eigensystem of rank (/?-!) is modified to convert it to a matrix of rank /?, which then is solved directly for a vector which, together with the eigenvector, gives the eigenvector derivative to within an arbitrary constant. The norm of the eigenvector is used to determine this constant and complete the calculation. The method is simple, since the modified n rank matrix is formed without matrix multiplication or extensive manipulation. Since the matrix has the same bandedness as the original eigensystems, it can be treated efficiently using the same banded equation solution algorithms that are used to find the eigenvectors.

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Citations
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Journal ArticleDOI

An inverse strategy for relocation of eigenfrequencies in structural design. Part II: second order approximate solutions

TL;DR: In this paper, an inverse strategy for relocation of structural natural frequencies using first order formulation and solution algorithm is proposed, which incorporates the design constraints or objective functions in the system equations in such a way that a square system of equations is always preserved.
Journal ArticleDOI

A practical algorithm for the efficient computation of eigenvector sensitivities

TL;DR: A practical algorithm has been developed for efficiently computing eigenvector derivatives of generalized symmetric eigenvalue problems and this method has been extended to the case of practical structural design where structural modifications are made locally and the eigenderivatives of the modes concerned before are still of interest.
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Sensitivity analysis and optimization of nodal point placement for vibration reduction

TL;DR: In this article, a method for sensitivity analysis and optimization of nodal point locations in connection with vibration reduction is developed, which leads to values for added masses that adjust a nodal location while minimizing the total amount of added mass required to do so.
Journal ArticleDOI

An improved approximate method for computing eigenvector derivatives

TL;DR: Numerical examples show the improved approximate method for computing eigenvector derivatives provides sufficient accuracy and reduced computation time when compared to the exact solution.
Journal ArticleDOI

Optimal placement of tuning masses for vibration reduction in helicopter rotor blades

TL;DR: In this article, a method for reducing vibration in helicopter rotor blades by determining optimum sizes and locations of tuning masses through formal mathematical optimization techniques is described, where the tuning masses and corresponding locations are systematically changed to achieve low values of shear without a large mass penalty.
References
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Book

The algebraic eigenvalue problem

TL;DR: Theoretical background Perturbation theory Error analysis Solution of linear algebraic equations Hermitian matrices Reduction of a general matrix to condensed form Eigenvalues of matrices of condensed forms The LR and QR algorithms Iterative methods Bibliography.
Journal ArticleDOI

Rates of change of eigenvalues and eigenvectors.

TL;DR: Exact expressions for rates of change of eigenvalues and eigenvector to facilitate computerized design of complex structures are presented.
Journal ArticleDOI

Statistical Identification of Structures

TL;DR: In this paper, a method is formulated for systematically using experimental measurements of the natural frequencies and mode shapes of a structure to modify stiffness and mass characteristics of a finite element model, and an additional feature is that the engineer's confidence in the modeling of the various finite elements is quantified and incorporated into the revision procedure.
Journal ArticleDOI

Handbook for Automatic Computation. Vol II, Linear Algebra

TL;DR: Haida gwaii tourism guide, Handbook of raman spectroscopy, and the Jordan form, Kronecker's form for matrix pencils, and various condition in the Handbook.