Bounds for the eigenvalues of a matrix
Mathematical models for determining eigenvalue bounds of matrix
Garren, K. R.↗
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Stable implicit and explicit numerical methods for integrating quasi-linear differential equations with parasitic-stiff and parasitic-saddle eigenvalues
Numerical methods for integrating nonlinear differential equations with parasitic eigenvalues
Lomax, H.↗
Hybrid-computer Monte Carlo techniques for finding eigenvalues of partial differential equations
Monte Carlo method for estimating eigenvalues of elliptical partial differential equations
Daquanni, R.↗
Lower bounds to eigenvalues of the Schroedinger equation. III - On the relationship between the method of intermediate Hamiltonians and the partitioning technique.
Schroedinger equation eigenvalues lower bounds, noting relationship between intermediate Hamiltonians method and partitioning technique
Wilson, T. M.↗
Lower bounds to eigenvalues of the Schroedinger equation by the partitioning technique.
Lower bounds to eigenvalues of bounded self adjoint Hamiltonian calculated using partitioning technique
Wilson, T. M.↗
Eigenvalues and eigenvectors of symmetric matrices, case 320
Eigenvalues and eigenvectors of symmetric matrices using FORTRAN 4 subroutines
Vandergraft, J. S.↗
Rates of change of eigenvalues and eigenvectors.
Exact expressions for rates of change of eigenvalues and eigenvector to facilitate computerized design of complex structures
Fox, R. L.↗
Asymptotic solutions of certain linear difference equations, with applications to some eigenvalue problems.
Asymptotic solutions of linear difference equations, discussing applications to eigenvalue problems of free oscillations of model galaxies
Hunter, C.↗
Bounds for the eigenvalues of a simply- supported rectangular plate under a compressive stress varying linearly in the direction of loading
Upper bounds of eigenvalues of simply-supported rectangular plate using Rayleigh-Ritz method
Fauconneau, G.↗
Generalized Rayleigh methods with applications to finding eigenvalues of large matrices
Generalized Rayleigh quotients for calculating eigenvalues and eigenvectors of large matrices
Vandergraft, J. S.↗
Triangular decomposition as an aid in determining eigenvalues of large-order banded symmetric matrices
Triangular decomposition as aid in determining eigenvalues of large-order banded symmetric matrices
Puccinelli, E. F.↗
Localization of the eigenvalues of linear integral equations with applications to linear ordinary differential equations
Localization of linear integral equation eigenvalues with applications to linear ordinary differential equations
Kranzler, S. K.↗
Noniterative solutions of integral equations for scattering. IV - Preliminary calculations for coupled open channels and coupled eigenvalue problems
Noniterative homogeneous solutions of integral equations for coupled open channel and coupled eigenvalue scattering
Kouri, D. J.↗
ALLMAT - A TSS/360 FORTRAN 4 subroutine for eigenvalues and eigenvectors of a general complex matrix
Subroutine ALLMAT for eigenvalues and eigenvectors of general complex nature
Fair, G.↗
Symbolic-numeric eigenvalue problems in quantum mechanics
Discussing problem of symbolic numeric conversion in solving quantum mechanical eigenvalue problems with FORMAC
Hartt, K.↗
The effect of local modifications on the eigenvalues and eigenvectors of damped linear systems
Discrete linear vibration systems viscous damping local modifications effect on eigenvalues and vectors, using Weissenburgers procedure in matrix form
Pomazal, R. J.↗
Extreme eigenvalues of Toeplitz matrices associated with certain orthogonal polynomials
Extreme eigenvalues of Toeplitz matrices associated with Laguerre and Jacobi polynomials, using finite difference operators
Baxley, J. V.↗
Eigenvalue properties of structural mean-axis systems
The authors review some of the properties of the pseudoinverse and oblique pseudoinverse of a linear transformation T from one finite-dimensional inner-product space into another, and then use these properties and a theorem of Milne (1968), which states that the oblique pseudoinverse can be expressed in terms of a weak generalized inverse and two projection operators, in order to compute a mean-axis influence coefficient matrix for the dynamic analysis of an elastic body. Some eigenvalue invariance properties of the mean-axis structural dynamics equations are demonstrated, and on the simple example of a uniform beam, it is shown that the finite frequencies and mode shapes of the mean axis structural system are identical to the nonzero frequencies and mode shapes of the free structure.
Cavin, R. K., III↗